Upload A2C CartPole-v1 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: CartPole-v1
     metrics:
     - type: mean_reward
-      value: 9.50 +/- 1.02
+      value: 10.00 +/- 1.79
       name: mean_reward
       verified: false
 ---

a2c-CartPole-v1.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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a2c-CartPole-v1/data

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         "__module__": "stable_baselines3.common.policies",
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         "bounded_below": "[ True  True  True  True]",
         "bounded_above": "[ True  True  True  True]",
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a2c-CartPole-v1/policy.pth

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It allows to keep variance\n        above zero and prevent it from growing too fast. 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results.json

@@ -1 +1 @@
-{"mean_reward": 9.5, "std_reward": 1.02469507659596, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-10-09T10:29:07.517303"}
+{"mean_reward": 10.0, "std_reward": 1.7888543819998317, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-10-09T10:51:35.350060"}