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README.md

@@ -1,29 +1,29 @@
 ---
 tags:
-- PongNoFrameskip-v4
+- BreakoutNoFrameskip-v4
 - ppo
 - reinforcement-learning
 - stable-baselines3
 - deep-rl
 - atari
 model-index:
-  - name: PPO Pong Atari
+  - name: PPO Breakout
     results:
       - task:
           type: reinforcement-learning
-          name: Pong
+          name: Breakout
         dataset:
-          name: PongNoFrameskip-v4
+          name: BreakoutNoFrameskip-v4
           type: atari
         metrics:
           - name: Mean Reward
             type: mean_reward
-            value: 21.00 +/- 0.00
+            value: 43.50 +/- 22.70
 ---
 
 
-# **PPO** Agent playing **PongNoFrameskip-v4**
+# **PPO** Agent playing **BreakoutNoFrameskip-v4**
 
-This is a trained model of a **PPO** agent playing **PongNoFrameskip-v4**.
+This is a trained model of a **PPO** agent playing **BreakoutNoFrameskip-v4**.
 
 To learn to use this model and train yours, check the Deep Reinforcement Learning Course on [Hugging Face](https://huggingface.co/deep-rl-course).

hyperparameters.json

@@ -1 +1 @@
-{"env_id": "PongNoFrameskip-v4", "max_t": 1000, "n_evaluation_episodes": 10}
+{"env_id": "BreakoutNoFrameskip-v4", "max_t": 1000, "n_evaluation_episodes": 10}

ppo_breakout.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:017d3fd0bc4ff498bf573ec11475100cf0d20c27137b87e381957f4d959ed5d5
+size 25496839

results.json

@@ -1 +1 @@
-{"env_id": "PongNoFrameskip-v4", "mean_reward": 21.0, "n_evaluation_episodes": 10, "eval_datetime": "2024-10-20T14:03:35.744333"}
+{"env_id": "BreakoutNoFrameskip-v4", "mean_reward": 43.5, "n_evaluation_episodes": 10, "eval_datetime": "2024-10-20T19:57:57.978604"}