Changing learning rate

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 274.97 +/- 13.75
+      value: 214.15 +/- 72.82
       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 0x7f6847d747a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6847d74830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6847d748c0>", "_build_mlp_extractor": "<function 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ppo-LunarLander-v2.zip

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ppo-LunarLander-v2/data

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"
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     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 320,
+    "_n_updates": 124,
     "n_steps": 1024,
-    "gamma": 0.999,
-    "gae_lambda": 0.98,
-    "ent_coef": 0.01,
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+    "gae_lambda": 0.95,
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replay.mp4

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results.json

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