set up ppo baseline

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 164.15 +/- 88.85
+      value: 263.47 +/- 44.34
       name: mean_reward
     task:
       type: reinforcement-learning

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 0x7f6c9587a830>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6c9587a8c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6c9587a950>", "_build_mlp_extractor": "<function 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"
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     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 124,
+    "_n_updates": 616,
     "n_steps": 1024,
     "gamma": 0.999,
     "gae_lambda": 0.98,

ppo-LunarLander-v2/policy.optimizer.pth

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