Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 76.46 +/- 148.36
+      value: 261.92 +/- 20.57
       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 0x7f043329b0d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f043329b160>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f043329b1f0>", "_build_mlp_extractor": "<function 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"
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     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 980,
+    "_n_updates": 9770,
     "n_steps": 2048,
     "gamma": 0.99,
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 size 87929

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
+- OS: Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022
+- Python: 3.8.10
+- Stable-Baselines3: 1.7.0
+- PyTorch: 1.13.1+cu116
+- GPU Enabled: True
+- Numpy: 1.21.6
+- Gym: 0.21.0

results.json

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