Upload ars BipedalWalker-v3 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: BipedalWalker-v3
     metrics:
     - type: mean_reward
-      value: -48.73 +/- 33.84
+      value: 67.29 +/- 105.81
       name: mean_reward
       verified: false
 ---

ars-BipedalWalker-v3.zip

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ars-BipedalWalker-v3/data

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         "__doc__": "\n    Linear policy network for ARS.\n\n    :param observation_space: The observation space of the environment\n    :param action_space: The action space of the environment\n    :param with_bias: With or without bias on the output\n    :param squash_output: For continuous actions, whether the output is squashed\n        or not using a ``tanh()`` function. If not squashed with tanh the output will instead be clipped.\n    ",
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-- OS: Linux-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023
+- OS: Windows-10-10.0.22621-SP0 10.0.22621
 - Python: 3.10.12
 - Stable-Baselines3: 2.2.1
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 - GPU Enabled: False
-- Numpy: 1.23.5
-- Cloudpickle: 2.2.1
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+- Cloudpickle: 3.0.0
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-- OpenAI Gym: 0.25.2
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