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README.md

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+
+        # **PPO** Agent playing **PongNoFrameskip-v4**
+
+        This is a trained model of a **PPO** agent playing **PongNoFrameskip-v4**.
+        
+---
+{
+  "tags": [
+    "PongNoFrameskip-v4",
+    "ppo",
+    "reinforcement-learning",
+    "stable-baselines3",
+    "deep-rl",
+    "atari"
+  ],
+  "model-index": [
+    {
+      "name": "PPO Pong Atari",
+      "results": [
+        {
+          "task": {
+            "type": "reinforcement-learning",
+            "name": "Pong"
+          },
+          "dataset": {
+            "name": "PongNoFrameskip-v4",
+            "type": "atari"
+          },
+          "metrics": [
+            {
+              "name": "Mean Reward",
+              "type": "mean_reward",
+              "value": "21.00 +/- 0.00"
+            }
+          ]
+        }
+      ]
+    }
+  ]
+}
+---

hyperparameters.json

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

ppo_pong.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9974534e114b6b7f4f61c4d8093c32a6a162b160fb3ab33b2f5d58edb55c43ae
+size 23100241

results.json

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+{"env_id": "PongNoFrameskip-v4", "mean_reward": 21.0, "n_evaluation_episodes": 10, "eval_datetime": "2024-10-20T13:50:37.086070"}