Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 236.85 +/- 63.44
+      value: 262.70 +/- 22.66
       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 0x7fe2c948cca0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fe2c948cd30>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fe2c948cdc0>", "_build_mlp_extractor": "<function 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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 310,
+    "_n_updates": 615,
     "n_steps": 1024,
     "gamma": 0.999,
-    "gae_lambda": 0.98,
+    "gae_lambda": 0.989,
     "ent_coef": 0.01,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,

ppo-LunarLander-v2/policy.optimizer.pth

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