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README.md

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+---
+tags:
+- BipedalWalker-v3
+- ars
+- deep-reinforcement-learning
+- reinforcement-learning
+- custom-implementation
+- BipedalWalkerHardcore-v3
+model-index:
+- name: ARS
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: BipedalWalker-v3
+      type: BipedalWalker-v3
+    metrics:
+    - type: mean_reward
+      value: -95.04 +/- 21.58
+      name: mean_reward
+      verified: false
+---
+
+  # ARS Agent Playing BipedalWalker-v3
+
+  This is a trained model of a ARS agent playing BipedalWalker-v3.
+
+  # Hyperparameters
+  ```python
+  {'v': 0.03
+'N': 16
+'b': 8
+'lr': 0.02
+'normalizer': <__main__.Normalizer object at 0x00000282A0091120>
+'writer': <torch.utils.tensorboard.writer.SummaryWriter object at 0x00000282A0091750>
+'env_id': 'BipedalWalker-v3'
+'algorithm': 'ARS'
+'iterations': 30
+'episode_length': 5000
+'test_iterations': 100}
+  ```
+  

results.json

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+{"env_id": "BipedalWalker-v3", "mean_reward": -95.03716054591457, "std_reward": 21.582224031703173, "n_evaluation_episodes": 100, "eval_datetime": "2024-01-07T10:58:06.497219"}