hedderich/ppo-LunarLander-v2

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 249.76 +/- 12.52
+      value: 247.30 +/- 13.57
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7f0a5f8795e0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0a5f879670>", "reset_noise": 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It allows to keep variance\n        above zero and prevent it from growing too fast. 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ppo-LunarLander-v2/policy.pth

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 version https://git-lfs.github.com/spec/v1
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-size 43329
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+size 43762

ppo-LunarLander-v2/pytorch_variables.pth

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 version https://git-lfs.github.com/spec/v1
-oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
-size 431
+oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
+size 864

ppo-LunarLander-v2/system_info.txt

@@ -1,8 +1,8 @@
-- OS: Linux-5.19.0-45-generic-x86_64-with-glibc2.31 # 46~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Wed Jun 7 15:06:04 UTC 20
-- Python: 3.9.16
+- OS: Linux-6.5.6-76060506-generic-x86_64-with-glibc2.35 # 202310061235~1697396945~22.04~9283e32 SMP PREEMPT_DYNAMIC Sun O
+- Python: 3.11.3
 - Stable-Baselines3: 2.0.0a5
-- PyTorch: 1.12.1+cu116
+- PyTorch: 2.1.1+cu121
 - GPU Enabled: True
-- Numpy: 1.23.4
-- Cloudpickle: 2.2.0
+- Numpy: 1.23.5
+- Cloudpickle: 3.0.0
 - Gymnasium: 0.28.1

results.json

@@ -1 +1 @@
-{"mean_reward": 249.76085529999995, "std_reward": 12.5216453363132, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-03T15:48:55.509155"}
+{"mean_reward": 247.29962300000003, "std_reward": 13.573991558396504, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-03T17:18:46.196036"}