Upload test training of LunarLander-v2 using PPO to jabot/PPPO_LunarLanderV2_1000000Steps_schLR_schCR

PPPO_LunarLanderV2_1000000Steps.zip

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 version https://git-lfs.github.com/spec/v1
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PPPO_LunarLanderV2_1000000Steps/data

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+        ":serialized:": 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HQK8iHDxb0OF1fZQoaAZoCWgPQwjDRIMUfP1wQJSGlFKUaBVNGQFoFkdAryImBg/kenV9lChoBmgJaA9DCLsoeuDjSW1AlIaUUpRoFUvhaBZHQK8iMSr5qM51fZQoaAZoCWgPQwjd71AUaNdzQJSGlFKUaBVNAwFoFkdAryI0xASnL3V9lChoBmgJaA9DCHvZdtoa/G9AlIaUUpRoFUvXaBZHQK8jHTGYKIB1fZQoaAZoCWgPQwindRvUPndxQJSGlFKUaBVL7mgWR0CvIz/m9xp+dX2UKGgGaAloD0MIgXwJFVwyckCUhpRSlGgVTZwBaBZHQK8jfq46Oo51fZQoaAZoCWgPQwjScwtdybZwQJSGlFKUaBVNWQFoFkdAryOGclPac3V9lChoBmgJaA9DCII8u3zr6nJAlIaUUpRoFUvXaBZHQK8jk6UaAFx1fZQoaAZoCWgPQwjcSNkiqexwQJSGlFKUaBVL0GgWR0CvI5i1iONpdX2UKGgGaAloD0MIzlXzHJGdb0CUhpRSlGgVS+BoFkdAryPnJ/5Ly3VlLg=="
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
@@ -89,7 +89,7 @@
     "n_epochs": 4,
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README.md

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   results:
   - metrics:
     - type: mean_reward
-      value: 269.81 +/- 20.82
+      value: 266.98 +/- 12.23
       name: mean_reward
     task:
       type: reinforcement-learning

config.json

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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 0x7f5b426c34d0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f5b426c3560>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f5b426c35f0>", "_build_mlp_extractor": "<function 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