RL v2 LunarLander-v2 agent

README.md

@@ -8,16 +8,17 @@ tags:
 model-index:
 - name: PPO
   results:
-  - metrics:
-    - type: mean_reward
-      value: 252.75 +/- 15.81
-      name: mean_reward
-    task:
+  - task:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
       name: LunarLander-v2
       type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: 273.91 +/- 12.60
+      name: mean_reward
+      verified: false
 ---
 
 # **PPO** Agent playing **LunarLander-v2**

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 0x7f8461498940>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f84614989d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f8461498a60>", "_build_mlp_extractor": "<function 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 {
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 size 43201

ppo-LunarLander-v2/system_info.txt

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-OS: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 #1 SMP Wed Mar 2 00:30:59 UTC 2022
-Python: 3.9.12
-Stable-Baselines3: 1.6.0
-PyTorch: 1.12.0+cu102
+OS: Linux-5.10.102.1-microsoft-standard-WSL2-x86_64-with-debian-bullseye-sid #1 SMP Wed Mar 2 00:30:59 UTC 2022
+Python: 3.7.12
+Stable-Baselines3: 1.6.2
+PyTorch: 1.13.0+cu117
 GPU Enabled: True
-Numpy: 1.23.1
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 Gym: 0.21.0

results.json

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