Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 263.13 +/- 10.58
+      value: 236.58 +/- 35.67
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). 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 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 0x7f4c6c5bd670>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4c6c5bd700>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4c6c5bd790>", "_build_mlp_extractor": "<function 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+        ":serialized:": 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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
@@ -86,7 +87,7 @@
     "n_epochs": 4,
     "clip_range": {
         ":type:": "<class 'function'>",
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ppo-LunarLander-v2/policy.pth

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ppo-LunarLander-v2/system_info.txt

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-OS: Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022
-Python: 3.8.16
-Stable-Baselines3: 1.6.2
-PyTorch: 1.13.0+cu116
-GPU Enabled: True
-Numpy: 1.21.6
-Gym: 0.21.0
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+- Python: 3.8.16
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.0+cu116
+- GPU Enabled: True
+- Numpy: 1.21.6
+- Gym: 0.21.0

results.json

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