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LizardAPN
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rl_course_vizdoom_health_gathering_supreme

Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
Eval Results
Model card Files
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Metrics Community
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Files changed (8) hide show
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  5. config.json +142 -0
  6. git.diff +0 -0
  7. replay.mp4 +3 -0
  8. sf_log.txt +718 -0
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+ ---
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+ library_name: sample-factory
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+ tags:
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - sample-factory
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+ model-index:
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+ - name: APPO
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+ results:
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+ - task:
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+ type: reinforcement-learning
12
+ name: reinforcement-learning
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+ dataset:
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+ name: doom_health_gathering_supreme
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+ type: doom_health_gathering_supreme
16
+ metrics:
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+ - type: mean_reward
18
+ value: 4.51 +/- 0.90
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+ name: mean_reward
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+ verified: false
21
+ ---
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+
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+ A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
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+
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+ This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
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+ Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
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+
28
+
29
+ ## Downloading the model
30
+
31
+ After installing Sample-Factory, download the model with:
32
+ ```
33
+ python -m sample_factory.huggingface.load_from_hub -r LizardAPN/rl_course_vizdoom_health_gathering_supreme
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+ ```
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+
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+
37
+ ## Using the model
38
+
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+ To run the model after download, use the `enjoy` script corresponding to this environment:
40
+ ```
41
+ python -m <path.to.enjoy.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme
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+ ```
43
+
44
+
45
+ You can also upload models to the Hugging Face Hub using the same script with the `--push_to_hub` flag.
46
+ See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
47
+
48
+ ## Training with this model
49
+
50
+ To continue training with this model, use the `train` script corresponding to this environment:
51
+ ```
52
+ python -m <path.to.train.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme --restart_behavior=resume --train_for_env_steps=10000000000
53
+ ```
54
+
55
+ Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.
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+
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+ {
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+ "help": false,
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+ "algo": "APPO",
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+ "env": "doom_health_gathering_supreme",
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+ "experiment": "default_experiment",
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+ "train_dir": "/home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir",
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+ "restart_behavior": "resume",
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+ "device": "gpu",
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+ "seed": null,
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+ "num_policies": 1,
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+ "async_rl": true,
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+ "serial_mode": false,
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+ "batched_sampling": false,
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+ "num_batches_to_accumulate": 2,
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+ "worker_num_splits": 2,
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+ "max_policy_lag": 1000,
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+ "rollout": 32,
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+ "recurrence": 32,
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+ "shuffle_minibatches": false,
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+ "gamma": 0.99,
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+ "normalize_returns": true,
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+ "exploration_loss_coeff": 0.001,
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+ "gae_lambda": 0.95,
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+ "ppo_clip_ratio": 0.1,
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+ "with_vtrace": false,
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+ "vtrace_rho": 1.0,
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+ "vtrace_c": 1.0,
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+ "optimizer": "adam",
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+ "adam_eps": 1e-06,
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+ "adam_beta1": 0.9,
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+ "max_grad_norm": 4.0,
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+ "learning_rate": 0.0001,
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+ "lr_schedule": "constant",
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+ "lr_schedule_kl_threshold": 0.008,
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+ "actor_worker_gpus": [],
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+ "set_workers_cpu_affinity": true,
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+ "force_envs_single_thread": false,
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+ "log_to_file": true,
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+ "experiment_summaries_interval": 10,
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+ "flush_summaries_interval": 30,
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+ "load_checkpoint_kind": "latest",
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+ "nonlinearity": "elu",
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+ "command_line": "--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000",
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+ "cli_args": {
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+ "env": "doom_health_gathering_supreme",
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+ },
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+ "git_hash": "e351164d0f7947a0dda931ef2cf5d68e274a1c6a",
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+ "git_repo_name": "https://github.com/Lizard2005/HuggingFace.git"
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+ }
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+ [2025-08-17 18:53:04,111][08154] Saving configuration to /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/config.json...
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+ [2025-08-17 18:53:04,145][08154] Rollout worker 0 uses device cpu
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+ [2025-08-17 18:53:04,146][08154] Rollout worker 1 uses device cpu
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+ [2025-08-17 18:53:04,147][08154] Rollout worker 2 uses device cpu
5
+ [2025-08-17 18:53:04,147][08154] Rollout worker 3 uses device cpu
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+ [2025-08-17 18:53:04,148][08154] Rollout worker 4 uses device cpu
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+ [2025-08-17 18:53:04,148][08154] Rollout worker 5 uses device cpu
8
+ [2025-08-17 18:53:04,149][08154] Rollout worker 6 uses device cpu
9
+ [2025-08-17 18:53:04,152][08154] Rollout worker 7 uses device cpu
10
+ [2025-08-17 18:53:04,204][08154] Using GPUs [0] for process 0 (actually maps to GPUs [0])
11
+ [2025-08-17 18:53:04,205][08154] InferenceWorker_p0-w0: min num requests: 2
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+ [2025-08-17 18:53:04,227][08154] Starting all processes...
13
+ [2025-08-17 18:53:04,228][08154] Starting process learner_proc0
14
+ [2025-08-17 18:53:04,278][08154] Starting all processes...
15
+ [2025-08-17 18:53:04,290][08154] Starting process inference_proc0-0
16
+ [2025-08-17 18:53:04,290][08154] Starting process rollout_proc0
17
+ [2025-08-17 18:53:04,291][08154] Starting process rollout_proc1
18
+ [2025-08-17 18:53:04,291][08154] Starting process rollout_proc2
19
+ [2025-08-17 18:53:04,291][08154] Starting process rollout_proc3
20
+ [2025-08-17 18:53:04,292][08154] Starting process rollout_proc4
21
+ [2025-08-17 18:53:04,294][08154] Starting process rollout_proc5
22
+ [2025-08-17 18:53:04,295][08154] Starting process rollout_proc6
23
+ [2025-08-17 18:53:04,295][08154] Starting process rollout_proc7
24
+ [2025-08-17 18:53:13,568][13436] Using GPUs [0] for process 0 (actually maps to GPUs [0])
25
+ [2025-08-17 18:53:13,568][13436] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for learning process 0
26
+ [2025-08-17 18:53:13,638][13453] Worker 3 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
27
+ [2025-08-17 18:53:13,696][13451] Worker 1 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
28
+ [2025-08-17 18:53:13,969][13454] Worker 4 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
29
+ [2025-08-17 18:53:14,099][13452] Worker 2 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
30
+ [2025-08-17 18:53:14,109][13436] Num visible devices: 1
31
+ [2025-08-17 18:53:14,110][13436] Starting seed is not provided
32
+ [2025-08-17 18:53:14,110][13436] Using GPUs [0] for process 0 (actually maps to GPUs [0])
33
+ [2025-08-17 18:53:14,110][13436] Initializing actor-critic model on device cuda:0
34
+ [2025-08-17 18:53:14,110][13436] RunningMeanStd input shape: (3, 72, 128)
35
+ [2025-08-17 18:53:14,137][13436] RunningMeanStd input shape: (1,)
36
+ [2025-08-17 18:53:14,189][13450] Worker 0 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
37
+ [2025-08-17 18:53:14,272][13457] Worker 7 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
38
+ [2025-08-17 18:53:14,288][13455] Worker 5 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
39
+ [2025-08-17 18:53:14,361][13456] Worker 6 uses CPU cores [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
40
+ [2025-08-17 18:53:14,434][13436] ConvEncoder: input_channels=3
41
+ [2025-08-17 18:53:14,517][13449] Using GPUs [0] for process 0 (actually maps to GPUs [0])
42
+ [2025-08-17 18:53:14,517][13449] Set environment var CUDA_VISIBLE_DEVICES to '0' (GPU indices [0]) for inference process 0
43
+ [2025-08-17 18:53:14,618][13449] Num visible devices: 1
44
+ [2025-08-17 18:53:15,138][13436] Conv encoder output size: 512
45
+ [2025-08-17 18:53:15,138][13436] Policy head output size: 512
46
+ [2025-08-17 18:53:15,356][13436] Created Actor Critic model with architecture:
47
+ [2025-08-17 18:53:15,356][13436] ActorCriticSharedWeights(
48
+ (obs_normalizer): ObservationNormalizer(
49
+ (running_mean_std): RunningMeanStdDictInPlace(
50
+ (running_mean_std): ModuleDict(
51
+ (obs): RunningMeanStdInPlace()
52
+ )
53
+ )
54
+ )
55
+ (returns_normalizer): RecursiveScriptModule(original_name=RunningMeanStdInPlace)
56
+ (encoder): VizdoomEncoder(
57
+ (basic_encoder): ConvEncoder(
58
+ (enc): RecursiveScriptModule(
59
+ original_name=ConvEncoderImpl
60
+ (conv_head): RecursiveScriptModule(
61
+ original_name=Sequential
62
+ (0): RecursiveScriptModule(original_name=Conv2d)
63
+ (1): RecursiveScriptModule(original_name=ELU)
64
+ (2): RecursiveScriptModule(original_name=Conv2d)
65
+ (3): RecursiveScriptModule(original_name=ELU)
66
+ (4): RecursiveScriptModule(original_name=Conv2d)
67
+ (5): RecursiveScriptModule(original_name=ELU)
68
+ )
69
+ (mlp_layers): RecursiveScriptModule(
70
+ original_name=Sequential
71
+ (0): RecursiveScriptModule(original_name=Linear)
72
+ (1): RecursiveScriptModule(original_name=ELU)
73
+ )
74
+ )
75
+ )
76
+ )
77
+ (core): ModelCoreRNN(
78
+ (core): GRU(512, 512)
79
+ )
80
+ (decoder): MlpDecoder(
81
+ (mlp): Identity()
82
+ )
83
+ (critic_linear): Linear(in_features=512, out_features=1, bias=True)
84
+ (action_parameterization): ActionParameterizationDefault(
85
+ (distribution_linear): Linear(in_features=512, out_features=5, bias=True)
86
+ )
87
+ )
88
+ [2025-08-17 18:53:16,854][13436] Using optimizer <class 'torch.optim.adam.Adam'>
89
+ [2025-08-17 18:53:21,495][13436] No checkpoints found
90
+ [2025-08-17 18:53:21,495][13436] Did not load from checkpoint, starting from scratch!
91
+ [2025-08-17 18:53:21,496][13436] Initialized policy 0 weights for model version 0
92
+ [2025-08-17 18:53:21,510][13436] LearnerWorker_p0 finished initialization!
93
+ [2025-08-17 18:53:21,510][13436] Using GPUs [0] for process 0 (actually maps to GPUs [0])
94
+ [2025-08-17 18:53:21,986][13449] Unhandled exception CUDA error: invalid resource handle
95
+ CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
96
+ For debugging consider passing CUDA_LAUNCH_BLOCKING=1
97
+ Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
98
+ in evt loop inference_proc0-0_evt_loop
99
+ [2025-08-17 18:53:24,198][08154] Heartbeat connected on Batcher_0
100
+ [2025-08-17 18:53:24,200][08154] Heartbeat connected on LearnerWorker_p0
101
+ [2025-08-17 18:53:24,212][08154] Heartbeat connected on RolloutWorker_w1
102
+ [2025-08-17 18:53:24,213][08154] Heartbeat connected on RolloutWorker_w0
103
+ [2025-08-17 18:53:24,214][08154] Heartbeat connected on RolloutWorker_w2
104
+ [2025-08-17 18:53:24,216][08154] Heartbeat connected on RolloutWorker_w3
105
+ [2025-08-17 18:53:24,219][08154] Heartbeat connected on RolloutWorker_w4
106
+ [2025-08-17 18:53:24,222][08154] Heartbeat connected on RolloutWorker_w5
107
+ [2025-08-17 18:53:24,225][08154] Heartbeat connected on RolloutWorker_w6
108
+ [2025-08-17 18:53:24,228][08154] Heartbeat connected on RolloutWorker_w7
109
+ [2025-08-17 18:53:25,865][08154] Fps is (10 sec: nan, 60 sec: nan, 300 sec: nan). Total num frames: 0. Throughput: 0: nan. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:53:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:53:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:53:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:53:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:54:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:55:10,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:55:15,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:55:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:55:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:55:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:56:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 18:59:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:13:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:13:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:13:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:13:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:00,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:05,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:20,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:30,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:14:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:00,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:15,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:25,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:15:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:00,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:40,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:16:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:00,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:45,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:17:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:00,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:45,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:50,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:18:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:00,867][13436] Saving /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
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+ [2025-08-17 19:19:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:15,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:25,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:19:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:20:00,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:20:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:20:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:20:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
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+ [2025-08-17 19:20:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
448
+ [2025-08-17 19:20:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
449
+ [2025-08-17 19:20:30,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
450
+ [2025-08-17 19:20:35,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
451
+ [2025-08-17 19:20:40,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
452
+ [2025-08-17 19:20:45,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
453
+ [2025-08-17 19:20:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
454
+ [2025-08-17 19:20:55,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
455
+ [2025-08-17 19:21:00,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
456
+ [2025-08-17 19:21:00,867][13436] Saving /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
457
+ [2025-08-17 19:21:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
458
+ [2025-08-17 19:21:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
459
+ [2025-08-17 19:21:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
460
+ [2025-08-17 19:21:20,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
461
+ [2025-08-17 19:21:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
462
+ [2025-08-17 19:21:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
463
+ [2025-08-17 19:21:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
464
+ [2025-08-17 19:21:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
465
+ [2025-08-17 19:21:45,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
466
+ [2025-08-17 19:21:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
467
+ [2025-08-17 19:21:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
468
+ [2025-08-17 19:22:00,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
469
+ [2025-08-17 19:22:05,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
470
+ [2025-08-17 19:22:10,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
471
+ [2025-08-17 19:22:15,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
472
+ [2025-08-17 19:22:20,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
473
+ [2025-08-17 19:22:25,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
474
+ [2025-08-17 19:22:30,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
475
+ [2025-08-17 19:22:35,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
476
+ [2025-08-17 19:22:40,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
477
+ [2025-08-17 19:22:45,865][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
478
+ [2025-08-17 19:22:50,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
479
+ [2025-08-17 19:22:55,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
480
+ [2025-08-17 19:23:00,864][08154] Fps is (10 sec: 0.0, 60 sec: 0.0, 300 sec: 0.0). Total num frames: 0. Throughput: 0: 0.0. Samples: 0. Policy #0 lag: (min: -1.0, avg: -1.0, max: -1.0)
481
+ [2025-08-17 19:23:00,866][13436] Saving /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
482
+ [2025-08-17 19:23:00,867][08154] Components not started: InferenceWorker_p0-w0, wait_time=1800.0 seconds
483
+ [2025-08-17 19:23:00,869][08154] Components take too long to start: InferenceWorker_p0-w0. Aborting the experiment!
484
+
485
+
486
+
487
+ [2025-08-17 19:23:00,874][08154] Component InferenceWorker_p0-w0 process died already! Don't wait for it.
488
+ [2025-08-17 19:23:00,875][13436] Stopping Batcher_0...
489
+ [2025-08-17 19:23:00,875][13436] Loop batcher_evt_loop terminating...
490
+ [2025-08-17 19:23:00,874][13456] Stopping RolloutWorker_w6...
491
+ [2025-08-17 19:23:00,877][08154] Component RolloutWorker_w2 stopped!
492
+ [2025-08-17 19:23:00,879][13456] Loop rollout_proc6_evt_loop terminating...
493
+ [2025-08-17 19:23:00,875][13454] Stopping RolloutWorker_w4...
494
+ [2025-08-17 19:23:00,874][13452] Stopping RolloutWorker_w2...
495
+ [2025-08-17 19:23:00,875][13455] Stopping RolloutWorker_w5...
496
+ [2025-08-17 19:23:00,880][13455] Loop rollout_proc5_evt_loop terminating...
497
+ [2025-08-17 19:23:00,880][13454] Loop rollout_proc4_evt_loop terminating...
498
+ [2025-08-17 19:23:00,875][13453] Stopping RolloutWorker_w3...
499
+ [2025-08-17 19:23:00,881][13452] Loop rollout_proc2_evt_loop terminating...
500
+ [2025-08-17 19:23:00,881][13453] Loop rollout_proc3_evt_loop terminating...
501
+ [2025-08-17 19:23:00,877][13457] Stopping RolloutWorker_w7...
502
+ [2025-08-17 19:23:00,883][13457] Loop rollout_proc7_evt_loop terminating...
503
+ [2025-08-17 19:23:00,877][13450] Stopping RolloutWorker_w0...
504
+ [2025-08-17 19:23:00,878][13451] Stopping RolloutWorker_w1...
505
+ [2025-08-17 19:23:00,884][13450] Loop rollout_proc0_evt_loop terminating...
506
+ [2025-08-17 19:23:00,879][08154] Waiting for ['Batcher_0', 'LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w1', 'RolloutWorker_w3', 'RolloutWorker_w4', 'RolloutWorker_w5', 'RolloutWorker_w6', 'RolloutWorker_w7'] to stop...
507
+ [2025-08-17 19:23:00,886][13451] Loop rollout_proc1_evt_loop terminating...
508
+ [2025-08-17 19:23:00,886][08154] Component RolloutWorker_w4 stopped!
509
+ [2025-08-17 19:23:00,891][08154] Waiting for ['Batcher_0', 'LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w1', 'RolloutWorker_w3', 'RolloutWorker_w5', 'RolloutWorker_w6', 'RolloutWorker_w7'] to stop...
510
+ [2025-08-17 19:23:00,892][08154] Component RolloutWorker_w3 stopped!
511
+ [2025-08-17 19:23:00,900][08154] Waiting for ['Batcher_0', 'LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w1', 'RolloutWorker_w5', 'RolloutWorker_w6', 'RolloutWorker_w7'] to stop...
512
+ [2025-08-17 19:23:00,901][08154] Component RolloutWorker_w1 stopped!
513
+ [2025-08-17 19:23:00,902][08154] Waiting for ['Batcher_0', 'LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w5', 'RolloutWorker_w6', 'RolloutWorker_w7'] to stop...
514
+ [2025-08-17 19:23:00,903][08154] Component RolloutWorker_w6 stopped!
515
+ [2025-08-17 19:23:00,911][13436] Saving /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
516
+ [2025-08-17 19:23:00,906][08154] Waiting for ['Batcher_0', 'LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w5', 'RolloutWorker_w7'] to stop...
517
+ [2025-08-17 19:23:00,917][08154] Component RolloutWorker_w5 stopped!
518
+ [2025-08-17 19:23:00,929][08154] Waiting for ['Batcher_0', 'LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w7'] to stop...
519
+ [2025-08-17 19:23:00,930][08154] Component Batcher_0 stopped!
520
+ [2025-08-17 19:23:00,931][08154] Waiting for ['LearnerWorker_p0', 'RolloutWorker_w0', 'RolloutWorker_w7'] to stop...
521
+ [2025-08-17 19:23:00,932][08154] Component RolloutWorker_w0 stopped!
522
+ [2025-08-17 19:23:00,933][08154] Waiting for ['LearnerWorker_p0', 'RolloutWorker_w7'] to stop...
523
+ [2025-08-17 19:23:00,934][08154] Component RolloutWorker_w7 stopped!
524
+ [2025-08-17 19:23:00,936][08154] Waiting for ['LearnerWorker_p0'] to stop...
525
+ [2025-08-17 19:23:00,950][13436] Saving /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
526
+ [2025-08-17 19:23:01,037][13436] Stopping LearnerWorker_p0...
527
+ [2025-08-17 19:23:01,037][13436] Loop learner_proc0_evt_loop terminating...
528
+ [2025-08-17 19:23:01,037][08154] Component LearnerWorker_p0 stopped!
529
+ [2025-08-17 19:23:01,039][08154] Waiting for process learner_proc0 to stop...
530
+ [2025-08-17 19:23:02,841][08154] Waiting for process inference_proc0-0 to join...
531
+ [2025-08-17 19:23:02,841][08154] Waiting for process rollout_proc0 to join...
532
+ [2025-08-17 19:23:02,843][08154] Waiting for process rollout_proc1 to join...
533
+ [2025-08-17 19:23:02,844][08154] Waiting for process rollout_proc2 to join...
534
+ [2025-08-17 19:23:02,846][08154] Waiting for process rollout_proc3 to join...
535
+ [2025-08-17 19:23:02,848][08154] Waiting for process rollout_proc4 to join...
536
+ [2025-08-17 19:23:02,850][08154] Waiting for process rollout_proc5 to join...
537
+ [2025-08-17 19:23:02,851][08154] Waiting for process rollout_proc6 to join...
538
+ [2025-08-17 19:23:02,852][08154] Waiting for process rollout_proc7 to join...
539
+ [2025-08-17 19:23:02,854][08154] Batcher 0 profile tree view:
540
+ [2025-08-17 19:23:02,856][08154] Learner 0 profile tree view:
541
+ [2025-08-17 19:23:02,857][08154] RolloutWorker_w0 profile tree view:
542
+ [2025-08-17 19:23:02,858][08154] RolloutWorker_w7 profile tree view:
543
+ [2025-08-17 19:23:02,861][08154] Loop Runner_EvtLoop terminating...
544
+ [2025-08-17 19:23:02,863][08154] Runner profile tree view:
545
+ main_loop: 1798.6349
546
+ [2025-08-17 19:23:02,864][08154] Collected {0: 0}, FPS: 0.0
547
+ [2025-08-17 19:23:03,579][08154] Loading existing experiment configuration from /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/config.json
548
+ [2025-08-17 19:23:03,580][08154] Overriding arg 'num_workers' with value 1 passed from command line
549
+ [2025-08-17 19:23:03,581][08154] Adding new argument 'no_render'=True that is not in the saved config file!
550
+ [2025-08-17 19:23:03,581][08154] Adding new argument 'save_video'=True that is not in the saved config file!
551
+ [2025-08-17 19:23:03,582][08154] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
552
+ [2025-08-17 19:23:03,583][08154] Adding new argument 'video_name'=None that is not in the saved config file!
553
+ [2025-08-17 19:23:03,583][08154] Adding new argument 'max_num_frames'=1000000000.0 that is not in the saved config file!
554
+ [2025-08-17 19:23:03,584][08154] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
555
+ [2025-08-17 19:23:03,585][08154] Adding new argument 'push_to_hub'=False that is not in the saved config file!
556
+ [2025-08-17 19:23:03,586][08154] Adding new argument 'hf_repository'=None that is not in the saved config file!
557
+ [2025-08-17 19:23:03,587][08154] Adding new argument 'policy_index'=0 that is not in the saved config file!
558
+ [2025-08-17 19:23:03,587][08154] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
559
+ [2025-08-17 19:23:03,588][08154] Adding new argument 'train_script'=None that is not in the saved config file!
560
+ [2025-08-17 19:23:03,590][08154] Adding new argument 'enjoy_script'=None that is not in the saved config file!
561
+ [2025-08-17 19:23:03,591][08154] Using frameskip 1 and render_action_repeat=4 for evaluation
562
+ [2025-08-17 19:23:03,630][08154] Doom resolution: 160x120, resize resolution: (128, 72)
563
+ [2025-08-17 19:23:03,633][08154] RunningMeanStd input shape: (3, 72, 128)
564
+ [2025-08-17 19:23:03,638][08154] RunningMeanStd input shape: (1,)
565
+ [2025-08-17 19:23:03,664][08154] ConvEncoder: input_channels=3
566
+ [2025-08-17 19:23:03,779][08154] Conv encoder output size: 512
567
+ [2025-08-17 19:23:03,781][08154] Policy head output size: 512
568
+ [2025-08-17 19:23:04,186][08154] Loading state from checkpoint /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
569
+ [2025-08-17 19:23:05,591][08154] Num frames 100...
570
+ [2025-08-17 19:23:05,717][08154] Num frames 200...
571
+ [2025-08-17 19:23:05,852][08154] Num frames 300...
572
+ [2025-08-17 19:23:06,010][08154] Avg episode rewards: #0: 3.840, true rewards: #0: 3.840
573
+ [2025-08-17 19:23:06,011][08154] Avg episode reward: 3.840, avg true_objective: 3.840
574
+ [2025-08-17 19:23:06,035][08154] Num frames 400...
575
+ [2025-08-17 19:23:06,188][08154] Num frames 500...
576
+ [2025-08-17 19:23:06,319][08154] Num frames 600...
577
+ [2025-08-17 19:23:06,441][08154] Num frames 700...
578
+ [2025-08-17 19:23:06,558][08154] Num frames 800...
579
+ [2025-08-17 19:23:06,651][08154] Avg episode rewards: #0: 4.660, true rewards: #0: 4.160
580
+ [2025-08-17 19:23:06,652][08154] Avg episode reward: 4.660, avg true_objective: 4.160
581
+ [2025-08-17 19:23:06,729][08154] Num frames 900...
582
+ [2025-08-17 19:23:06,855][08154] Num frames 1000...
583
+ [2025-08-17 19:23:06,989][08154] Num frames 1100...
584
+ [2025-08-17 19:23:07,128][08154] Num frames 1200...
585
+ [2025-08-17 19:23:07,248][08154] Num frames 1300...
586
+ [2025-08-17 19:23:07,317][08154] Avg episode rewards: #0: 5.040, true rewards: #0: 4.373
587
+ [2025-08-17 19:23:07,318][08154] Avg episode reward: 5.040, avg true_objective: 4.373
588
+ [2025-08-17 19:23:07,425][08154] Num frames 1400...
589
+ [2025-08-17 19:23:07,556][08154] Num frames 1500...
590
+ [2025-08-17 19:23:07,679][08154] Num frames 1600...
591
+ [2025-08-17 19:23:07,815][08154] Num frames 1700...
592
+ [2025-08-17 19:23:07,961][08154] Avg episode rewards: #0: 5.150, true rewards: #0: 4.400
593
+ [2025-08-17 19:23:07,962][08154] Avg episode reward: 5.150, avg true_objective: 4.400
594
+ [2025-08-17 19:23:08,026][08154] Num frames 1800...
595
+ [2025-08-17 19:23:08,143][08154] Num frames 1900...
596
+ [2025-08-17 19:23:08,276][08154] Num frames 2000...
597
+ [2025-08-17 19:23:08,407][08154] Num frames 2100...
598
+ [2025-08-17 19:23:08,537][08154] Num frames 2200...
599
+ [2025-08-17 19:23:08,604][08154] Avg episode rewards: #0: 5.216, true rewards: #0: 4.416
600
+ [2025-08-17 19:23:08,605][08154] Avg episode reward: 5.216, avg true_objective: 4.416
601
+ [2025-08-17 19:23:08,732][08154] Num frames 2300...
602
+ [2025-08-17 19:23:08,893][08154] Num frames 2400...
603
+ [2025-08-17 19:23:09,046][08154] Num frames 2500...
604
+ [2025-08-17 19:23:09,265][08154] Avg episode rewards: #0: 4.987, true rewards: #0: 4.320
605
+ [2025-08-17 19:23:09,266][08154] Avg episode reward: 4.987, avg true_objective: 4.320
606
+ [2025-08-17 19:23:09,281][08154] Num frames 2600...
607
+ [2025-08-17 19:23:09,450][08154] Num frames 2700...
608
+ [2025-08-17 19:23:09,609][08154] Num frames 2800...
609
+ [2025-08-17 19:23:09,764][08154] Num frames 2900...
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+ [2025-08-17 19:23:09,922][08154] Num frames 3000...
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+ [2025-08-17 19:23:10,081][08154] Avg episode rewards: #0: 5.246, true rewards: #0: 4.389
612
+ [2025-08-17 19:23:10,082][08154] Avg episode reward: 5.246, avg true_objective: 4.389
613
+ [2025-08-17 19:23:10,127][08154] Num frames 3100...
614
+ [2025-08-17 19:23:10,282][08154] Num frames 3200...
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+ [2025-08-17 19:23:10,429][08154] Num frames 3300...
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+ [2025-08-17 19:23:10,582][08154] Num frames 3400...
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+ [2025-08-17 19:23:10,716][08154] Avg episode rewards: #0: 5.070, true rewards: #0: 4.320
618
+ [2025-08-17 19:23:10,717][08154] Avg episode reward: 5.070, avg true_objective: 4.320
619
+ [2025-08-17 19:23:10,786][08154] Num frames 3500...
620
+ [2025-08-17 19:23:10,939][08154] Num frames 3600...
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+ [2025-08-17 19:23:11,088][08154] Num frames 3700...
622
+ [2025-08-17 19:23:11,251][08154] Num frames 3800...
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+ [2025-08-17 19:23:11,369][08154] Avg episode rewards: #0: 4.933, true rewards: #0: 4.267
624
+ [2025-08-17 19:23:11,370][08154] Avg episode reward: 4.933, avg true_objective: 4.267
625
+ [2025-08-17 19:23:11,461][08154] Num frames 3900...
626
+ [2025-08-17 19:23:11,610][08154] Num frames 4000...
627
+ [2025-08-17 19:23:11,768][08154] Num frames 4100...
628
+ [2025-08-17 19:23:11,914][08154] Num frames 4200...
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+ [2025-08-17 19:23:12,005][08154] Avg episode rewards: #0: 4.824, true rewards: #0: 4.224
630
+ [2025-08-17 19:23:12,006][08154] Avg episode reward: 4.824, avg true_objective: 4.224
631
+ [2025-08-17 19:23:17,726][08154] Replay video saved to /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/replay.mp4!
632
+ [2025-08-17 20:23:26,317][08154] Loading existing experiment configuration from /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/config.json
633
+ [2025-08-17 20:23:26,319][08154] Overriding arg 'num_workers' with value 1 passed from command line
634
+ [2025-08-17 20:23:26,320][08154] Adding new argument 'no_render'=True that is not in the saved config file!
635
+ [2025-08-17 20:23:26,321][08154] Adding new argument 'save_video'=True that is not in the saved config file!
636
+ [2025-08-17 20:23:26,322][08154] Adding new argument 'video_frames'=1000000000.0 that is not in the saved config file!
637
+ [2025-08-17 20:23:26,323][08154] Adding new argument 'video_name'=None that is not in the saved config file!
638
+ [2025-08-17 20:23:26,324][08154] Adding new argument 'max_num_frames'=100000 that is not in the saved config file!
639
+ [2025-08-17 20:23:26,324][08154] Adding new argument 'max_num_episodes'=10 that is not in the saved config file!
640
+ [2025-08-17 20:23:26,325][08154] Adding new argument 'push_to_hub'=True that is not in the saved config file!
641
+ [2025-08-17 20:23:26,325][08154] Adding new argument 'hf_repository'='LizardAPN/rl_course_vizdoom_health_gathering_supreme' that is not in the saved config file!
642
+ [2025-08-17 20:23:26,326][08154] Adding new argument 'policy_index'=0 that is not in the saved config file!
643
+ [2025-08-17 20:23:26,326][08154] Adding new argument 'eval_deterministic'=False that is not in the saved config file!
644
+ [2025-08-17 20:23:26,327][08154] Adding new argument 'train_script'=None that is not in the saved config file!
645
+ [2025-08-17 20:23:26,329][08154] Adding new argument 'enjoy_script'=None that is not in the saved config file!
646
+ [2025-08-17 20:23:26,330][08154] Using frameskip 1 and render_action_repeat=4 for evaluation
647
+ [2025-08-17 20:23:26,352][08154] RunningMeanStd input shape: (3, 72, 128)
648
+ [2025-08-17 20:23:26,354][08154] RunningMeanStd input shape: (1,)
649
+ [2025-08-17 20:23:26,367][08154] ConvEncoder: input_channels=3
650
+ [2025-08-17 20:23:26,400][08154] Conv encoder output size: 512
651
+ [2025-08-17 20:23:26,402][08154] Policy head output size: 512
652
+ [2025-08-17 20:23:26,438][08154] Loading state from checkpoint /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/checkpoint_p0/checkpoint_000000000_0.pth...
653
+ [2025-08-17 20:23:27,092][08154] Num frames 100...
654
+ [2025-08-17 20:23:27,307][08154] Num frames 200...
655
+ [2025-08-17 20:23:27,515][08154] Num frames 300...
656
+ [2025-08-17 20:23:27,719][08154] Avg episode rewards: #0: 3.840, true rewards: #0: 3.840
657
+ [2025-08-17 20:23:27,720][08154] Avg episode reward: 3.840, avg true_objective: 3.840
658
+ [2025-08-17 20:23:27,749][08154] Num frames 400...
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+ [2025-08-17 20:23:27,939][08154] Num frames 500...
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+ [2025-08-17 20:23:28,132][08154] Num frames 600...
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+ [2025-08-17 20:23:28,314][08154] Num frames 700...
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+ [2025-08-17 20:23:28,483][08154] Avg episode rewards: #0: 3.840, true rewards: #0: 3.840
663
+ [2025-08-17 20:23:28,485][08154] Avg episode reward: 3.840, avg true_objective: 3.840
664
+ [2025-08-17 20:23:28,554][08154] Num frames 800...
665
+ [2025-08-17 20:23:28,746][08154] Num frames 900...
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+ [2025-08-17 20:23:28,903][08154] Num frames 1000...
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+ [2025-08-17 20:23:29,051][08154] Num frames 1100...
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+ [2025-08-17 20:23:29,212][08154] Num frames 1200...
669
+ [2025-08-17 20:23:29,371][08154] Num frames 1300...
670
+ [2025-08-17 20:23:29,446][08154] Avg episode rewards: #0: 5.040, true rewards: #0: 4.373
671
+ [2025-08-17 20:23:29,447][08154] Avg episode reward: 5.040, avg true_objective: 4.373
672
+ [2025-08-17 20:23:29,589][08154] Num frames 1400...
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+ [2025-08-17 20:23:29,752][08154] Num frames 1500...
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+ [2025-08-17 20:23:29,905][08154] Num frames 1600...
675
+ [2025-08-17 20:23:30,121][08154] Avg episode rewards: #0: 4.740, true rewards: #0: 4.240
676
+ [2025-08-17 20:23:30,122][08154] Avg episode reward: 4.740, avg true_objective: 4.240
677
+ [2025-08-17 20:23:30,131][08154] Num frames 1700...
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+ [2025-08-17 20:23:30,283][08154] Num frames 1800...
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+ [2025-08-17 20:23:30,443][08154] Num frames 1900...
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+ [2025-08-17 20:23:30,587][08154] Num frames 2000...
681
+ [2025-08-17 20:23:30,739][08154] Num frames 2100...
682
+ [2025-08-17 20:23:30,863][08154] Avg episode rewards: #0: 4.888, true rewards: #0: 4.288
683
+ [2025-08-17 20:23:30,864][08154] Avg episode reward: 4.888, avg true_objective: 4.288
684
+ [2025-08-17 20:23:30,952][08154] Num frames 2200...
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+ [2025-08-17 20:23:31,103][08154] Num frames 2300...
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+ [2025-08-17 20:23:31,256][08154] Num frames 2400...
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+ [2025-08-17 20:23:31,405][08154] Num frames 2500...
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+ [2025-08-17 20:23:31,624][08154] Avg episode rewards: #0: 4.987, true rewards: #0: 4.320
689
+ [2025-08-17 20:23:31,625][08154] Avg episode reward: 4.987, avg true_objective: 4.320
690
+ [2025-08-17 20:23:31,640][08154] Num frames 2600...
691
+ [2025-08-17 20:23:31,804][08154] Num frames 2700...
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+ [2025-08-17 20:23:31,984][08154] Num frames 2800...
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+ [2025-08-17 20:23:32,155][08154] Num frames 2900...
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+ [2025-08-17 20:23:32,314][08154] Num frames 3000...
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+ [2025-08-17 20:23:32,466][08154] Num frames 3100...
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+ [2025-08-17 20:23:32,617][08154] Num frames 3200...
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+ [2025-08-17 20:23:32,767][08154] Avg episode rewards: #0: 5.806, true rewards: #0: 4.663
698
+ [2025-08-17 20:23:32,768][08154] Avg episode reward: 5.806, avg true_objective: 4.663
699
+ [2025-08-17 20:23:32,828][08154] Num frames 3300...
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+ [2025-08-17 20:23:32,972][08154] Num frames 3400...
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+ [2025-08-17 20:23:33,110][08154] Num frames 3500...
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+ [2025-08-17 20:23:33,243][08154] Num frames 3600...
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+ [2025-08-17 20:23:33,364][08154] Avg episode rewards: #0: 5.560, true rewards: #0: 4.560
704
+ [2025-08-17 20:23:33,365][08154] Avg episode reward: 5.560, avg true_objective: 4.560
705
+ [2025-08-17 20:23:33,443][08154] Num frames 3700...
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+ [2025-08-17 20:23:33,586][08154] Num frames 3800...
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+ [2025-08-17 20:23:33,750][08154] Num frames 3900...
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+ [2025-08-17 20:23:33,898][08154] Num frames 4000...
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+ [2025-08-17 20:23:33,997][08154] Avg episode rewards: #0: 5.369, true rewards: #0: 4.480
710
+ [2025-08-17 20:23:33,998][08154] Avg episode reward: 5.369, avg true_objective: 4.480
711
+ [2025-08-17 20:23:34,114][08154] Num frames 4100...
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+ [2025-08-17 20:23:34,258][08154] Num frames 4200...
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+ [2025-08-17 20:23:34,389][08154] Num frames 4300...
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+ [2025-08-17 20:23:34,550][08154] Num frames 4400...
715
+ [2025-08-17 20:23:34,704][08154] Num frames 4500...
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+ [2025-08-17 20:23:34,782][08154] Avg episode rewards: #0: 5.512, true rewards: #0: 4.512
717
+ [2025-08-17 20:23:34,783][08154] Avg episode reward: 5.512, avg true_objective: 4.512
718
+ [2025-08-17 20:23:41,017][08154] Replay video saved to /home/dmin/HuggingFace/notebooks/unit8/part_2/train_dir/default_experiment/replay.mp4!