debisoft commited on
Commit
00614ee
·
verified ·
1 Parent(s): 028a6df

Upload PPO LunarLander-v2 trained agent

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ replay.mp4 filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - LunarLander-v2
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: PPO
10
+ results:
11
+ - task:
12
+ type: reinforcement-learning
13
+ name: reinforcement-learning
14
+ dataset:
15
+ name: LunarLander-v2
16
+ type: LunarLander-v2
17
+ metrics:
18
+ - type: mean_reward
19
+ value: 257.18 +/- 17.63
20
+ name: mean_reward
21
+ verified: false
22
+ ---
23
+
24
+ # **PPO** Agent playing **LunarLander-v2**
25
+ This is a trained model of a **PPO** agent playing **LunarLander-v2**
26
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
27
+
28
+ ## Usage (with Stable-baselines3)
29
+ TODO: Add your code
30
+
31
+
32
+ ```python
33
+ from stable_baselines3 import ...
34
+ from huggingface_sb3 import load_from_hub
35
+
36
+ ...
37
+ ```
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7b00102a5440>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b00102a54e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b00102a5580>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b00102a5620>", "_build": "<function ActorCriticPolicy._build at 0x7b00102a56c0>", "forward": "<function ActorCriticPolicy.forward at 0x7b00102a5760>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b00102a5800>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b00102a58a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7b00102a5940>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b00102a59e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b00102a5a80>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b00102a5b20>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7b00103f3080>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1754137113485868806, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.123+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Mar 30 16:01:29 UTC 2025", "Python": "3.11.13", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.6.0+cu124", "GPU Enabled": "True", "Numpy": "2.0.2", "Cloudpickle": "3.1.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
ppo-LunarLander-v2.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b7dd251ad282aba370d72505b86aca769e2c4a4eeff306b8723da26ccd212731
3
+ size 148104
ppo-LunarLander-v2/_stable_baselines3_version ADDED
@@ -0,0 +1 @@
 
 
1
+ 2.0.0a5
ppo-LunarLander-v2/data ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "policy_class": {
3
+ ":type:": "<class 'abc.ABCMeta'>",
4
+ ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
5
+ "__module__": "stable_baselines3.common.policies",
6
+ "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ",
7
+ "__init__": "<function ActorCriticPolicy.__init__ at 0x7b00102a5440>",
8
+ "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b00102a54e0>",
9
+ "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b00102a5580>",
10
+ "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b00102a5620>",
11
+ "_build": "<function ActorCriticPolicy._build at 0x7b00102a56c0>",
12
+ "forward": "<function ActorCriticPolicy.forward at 0x7b00102a5760>",
13
+ "extract_features": "<function ActorCriticPolicy.extract_features at 0x7b00102a5800>",
14
+ "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b00102a58a0>",
15
+ "_predict": "<function ActorCriticPolicy._predict at 0x7b00102a5940>",
16
+ "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b00102a59e0>",
17
+ "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b00102a5a80>",
18
+ "predict_values": "<function ActorCriticPolicy.predict_values at 0x7b00102a5b20>",
19
+ "__abstractmethods__": "frozenset()",
20
+ "_abc_impl": "<_abc._abc_data object at 0x7b00103f3080>"
21
+ },
22
+ "verbose": 1,
23
+ "policy_kwargs": {},
24
+ "num_timesteps": 1015808,
25
+ "_total_timesteps": 1000000,
26
+ "_num_timesteps_at_start": 0,
27
+ "seed": null,
28
+ "action_noise": null,
29
+ "start_time": 1754137113485868806,
30
+ "learning_rate": 0.0003,
31
+ "tensorboard_log": null,
32
+ "_last_obs": {
33
+ ":type:": "<class 'numpy.ndarray'>",
34
+ ":serialized:": "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"
35
+ },
36
+ "_last_episode_starts": {
37
+ ":type:": "<class 'numpy.ndarray'>",
38
+ ":serialized:": "gAWVhAAAAAAAAACME251bXB5Ll9jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWEAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksQhZSMAUOUdJRSlC4="
39
+ },
40
+ "_last_original_obs": null,
41
+ "_episode_num": 0,
42
+ "use_sde": false,
43
+ "sde_sample_freq": -1,
44
+ "_current_progress_remaining": -0.015808000000000044,
45
+ "_stats_window_size": 100,
46
+ "ep_info_buffer": {
47
+ ":type:": "<class 'collections.deque'>",
48
+ ":serialized:": "gAWVLQwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQG/qzhP0qYuMAWyUTQEBjAF0lEdArajUFlkH2XV9lChoBkdAbPPIqbz9TGgHTRgBaAhHQK2pZiPyTZB1fZQoaAZHQHCTOtCAtnRoB02CAWgIR0CtqXKyWzF/dX2UKGgGR0ByJXbL2YfGaAdNugFoCEdAramJ5xBE8nV9lChoBkfAGwJHAh0QsmgHS+BoCEdAraniZYxL03V9lChoBkdASHkX1rZam2gHS8xoCEdAran9opQUH3V9lChoBkdAbp9lTWGyomgHTSYBaAhHQK2qcRigCfZ1fZQoaAZHQHB9ZZjhDPZoB00VAWgIR0CtquTA31jBdX2UKGgGR0BxBx5JK8L8aAdNZgFoCEdArau6kqMFU3V9lChoBkdAcPXd3Sro4mgHTYcCaAhHQK2tlkaMrEt1fZQoaAZHQHCGqq0dBB1oB01fAWgIR0CtrZs495hSdX2UKGgGR0BCinGjsUqQaAdL2mgIR0CtrckRJ2+xdX2UKGgGR0Byt5ptaY/naAdN3AFoCEdAra441LrX2HV9lChoBkdAcwolkpZwGWgHTQwBaAhHQK2uqp7TlT51fZQoaAZHQHMdmh24d6toB00zAWgIR0Ctrrcma6SUdX2UKGgGR0BzH7D0lJHzaAdNLgFoCEdAra7D+1jRUnV9lChoBkdAbxCLhJiAlWgHTScBaAhHQK2vApmVZ9x1fZQoaAZHQHGGCRnvlU9oB00VAmgIR0Ctr8yS3b22dX2UKGgGR0BwjWTjebd8aAdNMwFoCEdAra/1mL9/BnV9lChoBkdAcZgx4IKMN2gHTTEBaAhHQK2wQJeE7GN1fZQoaAZHQHB0iLyc0+FoB02BAWgIR0CtsMB91EE1dX2UKGgGR0BxGHsjVx0daAdNPQFoCEdArbESUkfLcXV9lChoBkdAcb8n3cpLEmgHTZQBaAhHQK2xJuO0b991fZQoaAZHQGBpJJXhfjVoB03oA2gIR0CtskB37k4ndX2UKGgGR0AxiibDuSfUaAdL6WgIR0Ctslp8v24/dX2UKGgGR0BuFEb961LKaAdNEgFoCEdArbKVVDKHPHV9lChoBkdAbj2Z3LV4HGgHTUEBaAhHQK2yuylenht1fZQoaAZHQGA4DmKZUkxoB03oA2gIR0Cts0mqHXVcdX2UKGgGR0BwYMEr5IpZaAdNSwFoCEdArbRqKcd5p3V9lChoBkdAcYf9aUzKtGgHTbABaAhHQK20rLidat91fZQoaAZHQHJO0B4lhPVoB00nAWgIR0CttN8Kw6hhdX2UKGgGR0BydOzgMtsfaAdNQwFoCEdArbU2mm+Cb3V9lChoBkdAb3951Ng0CWgHTcQBaAhHQK21RQla8pV1fZQoaAZHQHF9O8f3evZoB009AWgIR0CttZ60QbuMdX2UKGgGR0BwCA7aIvalaAdNIAFoCEdArbWsPz4DcXV9lChoBkdAckNs8PnSv2gHTSsBaAhHQK22KJj2Bat1fZQoaAZHQENbSCOFQEZoB0vSaAhHQK22ZpB5X2d1fZQoaAZHQG7PqIznA7BoB004AWgIR0CttnLsKLKndX2UKGgGR0BxIvjYI0IkaAdNBAFoCEdArbbMpsoDxXV9lChoBkdAb7Fd2xIJ7mgHS/xoCEdArbbheVs1sXV9lChoBkdAcZjMspXp4mgHTU4CaAhHQK24YcOLBKt1fZQoaAZHQEZ1x9XtBv9oB0vYaAhHQK25ufzz3AV1fZQoaAZHQHJldlZowmFoB005AWgIR0Ctui3225QQdX2UKGgGR0BHpcDr7fpEaAdLyWgIR0Ctw/3ocJdCdX2UKGgGR0ByMEv0yxiYaAdNUgFoCEdArcQbT+ee4HV9lChoBkdAcZ8bNbC79WgHTSMBaAhHQK3EPDk2gnN1fZQoaAZHQGzRYE4ecQRoB004AWgIR0CtxEK4H5aedX2UKGgGR0Bu5dUdaMaTaAdNagFoCEdArcRaIxgy/XV9lChoBkdAcrOcrRSgoWgHTasBaAhHQK3EZX9R77d1fZQoaAZHQHGSlbzK9wpoB01EAWgIR0CtxHTV+Zw5dX2UKGgGR0BwlWbI91U3aAdN+wFoCEdArcS6TOgQH3V9lChoBkdAclzwIdELIGgHTU4BaAhHQK3E+qlxffJ1fZQoaAZHQHJ4HVPN3W5oB00+AWgIR0CtxWUKzAvddX2UKGgGR0BNHvCdjG1haAdL1GgIR0CtxZ6LOzIFdX2UKGgGR0Bxeo02tMfzaAdNXAFoCEdArcW7ebd8A3V9lChoBkdAUqMNCqp97WgHS8doCEdArccMDOkcj3V9lChoBkdAQUNuFYdQwmgHS8FoCEdArccQgA6uGXV9lChoBkdARp/ldTo+wGgHS9loCEdArccxr56+nXV9lChoBkdARnUmBvrGBGgHS8VoCEdArcdrsfJV83V9lChoBkdAcj1TB68g6mgHTQ0BaAhHQK3Hfr6ciGF1fZQoaAZHQHEtB46fapRoB0v4aAhHQK3HhqfvnbJ1fZQoaAZHQHKgYN7SiM5oB03CAWgIR0Ctx5k/B3zMdX2UKGgGR0ByB1EofCAMaAdL+mgIR0Ctx/j/MnqndX2UKGgGR0Bxsz/uLJjlaAdNDAFoCEdArcgDz/ZM+XV9lChoBkdAcPKlvqC6H2gHTR0BaAhHQK3IXvQ4S6F1fZQoaAZHQGQsxVyWAwxoB03oA2gIR0CtyHc5sCT2dX2UKGgGR0BujBNKyv9taAdNDwFoCEdArcizreIl+nV9lChoBkdAce3Sv1UVBWgHTQEBaAhHQK3JJBCUorp1fZQoaAZHQHD687p3X7NoB00zAWgIR0CtygSJj2BbdX2UKGgGR0BwQ+j+JgstaAdNUwFoCEdArcoXjCHh0nV9lChoBkdAUbINlRP422gHS9doCEdArcp7LfUF0XV9lChoBkdARzSKxcE/0WgHS+NoCEdArcqhPCVKPHV9lChoBkdAbUjV+Zw4sGgHTQIBaAhHQK3KsRyOrAB1fZQoaAZHQEgCeZG8VYZoB0vNaAhHQK3K1bDdgv11fZQoaAZHQHAziFXaJyhoB0vwaAhHQK3K6814xDd1fZQoaAZHQHC3nU2DQJJoB03aAWgIR0Ctyu9S2phndX2UKGgGR0Bxb2mNzbN9aAdNOQFoCEdArct0pqh11XV9lChoBkdAGUS+xnnMdWgHS+FoCEdArct/YjB2wHV9lChoBkdAcZd5UtI07GgHTSkBaAhHQK3Ljj5sTFl1fZQoaAZHQG0Cq9Gqgh9oB006AWgIR0Cty5e05U97dX2UKGgGR0Bw5+xY7q6faAdNLQFoCEdArcyYDTz/ZXV9lChoBkdAcPH07r9l3GgHTWEBaAhHQK3M0dlum791fZQoaAZHQHAgBiTdLxtoB002AWgIR0CtzQaKUFB6dX2UKGgGR0ButjSG8EmqaAdNNQFoCEdArc2MPQOWjXV9lChoBkdATSBmyxA0K2gHS75oCEdArc2UW/JvHnV9lChoBkdARTg2GZeAu2gHS8FoCEdArc45IJ7b+XV9lChoBkdAcvuMAWBSUGgHTQgBaAhHQK3ORYISlFd1fZQoaAZHQHEP8t03fhxoB00DAWgIR0Ctzlkq2BrfdX2UKGgGR0BtHmtr9EThaAdNKgFoCEdArc79KCg9NnV9lChoBkdAcAV0CzTnaGgHTVsBaAhHQK3PHHktEoh1fZQoaAZHQHLT/ZqVQhxoB00DAWgIR0Ctz1rWAf+1dX2UKGgGR0BwU9cAzYVZaAdNLgFoCEdArc/1x0dRznV9lChoBkdAcRIBQN0/4mgHTaABaAhHQK3QEAhje9B1fZQoaAZHQHBmWXLNfPZoB00UAWgIR0Ct0MNeD3/QdX2UKGgGR0ByUtbC79Q5aAdNFAFoCEdArdE7UXpGF3V9lChoBkdAcl1TCLuQZGgHTT0BaAhHQK3RrJg9eQd1fZQoaAZHQHAPA+dK/VRoB00KAWgIR0Ct0azXSSeRdX2UKGgGR0BWme5avA45aAdL3GgIR0Ct0mlSCOFQdX2UKGgGR0BxORWJaaCuaAdNGwFoCEdArdK9kQPI4nV9lChoBkdAbVJopQUHp2gHTVsBaAhHQK3S9WxyGSJ1ZS4="
49
+ },
50
+ "ep_success_buffer": {
51
+ ":type:": "<class 'collections.deque'>",
52
+ ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
53
+ },
54
+ "_n_updates": 248,
55
+ "observation_space": {
56
+ ":type:": "<class 'gymnasium.spaces.box.Box'>",
57
+ ":serialized:": "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",
58
+ "dtype": "float32",
59
+ "bounded_below": "[ True True True True True True True True]",
60
+ "bounded_above": "[ True True True True True True True True]",
61
+ "_shape": [
62
+ 8
63
+ ],
64
+ "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
65
+ "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
66
+ "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
67
+ "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
68
+ "_np_random": null
69
+ },
70
+ "action_space": {
71
+ ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
72
+ ":serialized:": "gAWV3AAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFm51bXB5Ll9jb3JlLm11bHRpYXJyYXmUjAZzY2FsYXKUk5SMBW51bXB5lIwFZHR5cGWUk5SMAmk4lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJDCAQAAAAAAAAAlIaUUpSMBXN0YXJ0lGgIaA5DCAAAAAAAAAAAlIaUUpSMBl9zaGFwZZQpjAVkdHlwZZRoDowKX25wX3JhbmRvbZROdWIu",
73
+ "n": "4",
74
+ "start": "0",
75
+ "_shape": [],
76
+ "dtype": "int64",
77
+ "_np_random": null
78
+ },
79
+ "n_envs": 16,
80
+ "n_steps": 1024,
81
+ "gamma": 0.999,
82
+ "gae_lambda": 0.98,
83
+ "ent_coef": 0.01,
84
+ "vf_coef": 0.5,
85
+ "max_grad_norm": 0.5,
86
+ "batch_size": 64,
87
+ "n_epochs": 4,
88
+ "clip_range": {
89
+ ":type:": "<class 'function'>",
90
+ ":serialized:": "gAWV1gIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwiVAZcAiQFTAJROhZQpjAFflIWUjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjExL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUS4RDCPiAANgPEogKlEMAlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTEvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpRoAIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCF9lH2UKGgYjARmdW5jlIwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBmMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHP8mZmZmZmZqFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="
91
+ },
92
+ "clip_range_vf": null,
93
+ "normalize_advantage": true,
94
+ "target_kl": null,
95
+ "lr_schedule": {
96
+ ":type:": "<class 'function'>",
97
+ ":serialized:": "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"
98
+ }
99
+ }
ppo-LunarLander-v2/policy.optimizer.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f112f3137cad973e7754f20cb9dfa3a33b7107250b65aeb2d733eb68a10d5668
3
+ size 88362
ppo-LunarLander-v2/policy.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d15b0cffeb86d0c8101bd8c975f0137a8f5fbcaba9d53614bf8118499c9c61a1
3
+ size 43762
ppo-LunarLander-v2/pytorch_variables.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
3
+ size 864
ppo-LunarLander-v2/system_info.txt ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ - OS: Linux-6.1.123+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Mar 30 16:01:29 UTC 2025
2
+ - Python: 3.11.13
3
+ - Stable-Baselines3: 2.0.0a5
4
+ - PyTorch: 2.6.0+cu124
5
+ - GPU Enabled: True
6
+ - Numpy: 2.0.2
7
+ - Cloudpickle: 3.1.1
8
+ - Gymnasium: 0.28.1
9
+ - OpenAI Gym: 0.25.2
replay.mp4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42fad4ee9aeddc10e3bd803fb81eec4c38b0105122489704e64d7e26b2b57b95
3
+ size 157887
results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"mean_reward": 257.18008939999993, "std_reward": 17.63105880956127, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-02T12:58:36.692727"}