Initial commit

README.md

@@ -16,7 +16,7 @@ model-index:
       type: Walker2DBulletEnv-v0
     metrics:
     - type: mean_reward
-      value: 829.12 +/- 41.58
+      value: 388.34 +/- 289.88
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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In practice, ``exp()`` is usually enough.\n    :param clip_mean: Clip the mean output when using gSDE to avoid numerical instability.\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    :param n_critics: Number of critic networks to create.\n    :param share_features_extractor: Whether to share or not the features extractor\n        between the actor and the critic (this saves computation time)\n    ", "__init__": "<function SACPolicy.__init__ at 0x7f6db1d8b8b0>", "_build": "<function SACPolicy._build at 0x7f6db1d8b940>", 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@@ -69,15 +69,15 @@
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sac-Walker2DBulletEnv-v0/ent_coef_optimizer.pth

@@ -1,3 +1,3 @@
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