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README.md

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+---
+tags:
+- PandaReach-v3
+- ddpg
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: ddpg-PandaReach-v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: PandaReach-v3
+      type: PandaReach-v3
+    metrics:
+    - type: mean_reward
+      value: -1.64 +/- 0.82
+      name: mean_reward
+      verified: false
+---
+
+  # **DDPG** Agent playing **PandaReach-v3**
+  This is a trained model of a **DDPG** agent playing **PandaReach-v3** .
+  

hyperparameters.json

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+{"env_id": "PandaReach-v3", "max_steps": 50000, "n_training_episodes": 9624, "n_eval_episodes": 3000, "learning_rate": 0.001}

model.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e2494d8dedf6351c800d01a501fd95a86339bdfc4bd572c740d5c498707ead9a
+size 4091189

results.json

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+{"env_id": "PandaReach-v3", "mean_reward": -1.64, "n_evaluation_episodes": 3000, "eval_datetime": "2024-01-28T09:35:31.806232"}