Upload ars BipedalWalker-v3 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: BipedalWalker-v3
     metrics:
     - type: mean_reward
-      value: 67.29 +/- 105.81
+      value: -82.80 +/- 1.74
       name: mean_reward
       verified: false
 ---

ars-BipedalWalker-v3.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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ars-BipedalWalker-v3/data

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         "__module__": "sb3_contrib.ars.policies",
         "__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    ",
-        "__init__": "<function ARSLinearPolicy.__init__ at 0x000001D2828E2440>",
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-    "tensorboard_log": "runs/BipedalWalker-v3__ars-BipedalWalker-v3__1__1704135771",
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ars-BipedalWalker-v3/system_info.txt

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-- OS: Windows-10-10.0.22621-SP0 10.0.22621
+- OS: Linux-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023
 - Python: 3.10.12
 - Stable-Baselines3: 2.2.1
-- PyTorch: 2.1.0
+- PyTorch: 2.1.0+cu121
 - GPU Enabled: False
-- Numpy: 1.26.0
-- Cloudpickle: 3.0.0
+- Numpy: 1.23.5
+- Cloudpickle: 2.2.1
 - Gymnasium: 0.28.1
-- OpenAI Gym: 0.21.0
+- OpenAI Gym: 0.25.2

config.json

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