Upload sac BipedalWalker-v3 trained agent
Browse files- README.md +1 -1
- config.json +1 -1
- logs/events.out.tfevents.1704481189.Thunder.6168.14 +3 -0
- replay.mp4 +0 -0
- results.json +1 -1
- sac-BipedalWalker-v3.zip +2 -2
- sac-BipedalWalker-v3/actor.optimizer.pth +1 -1
- sac-BipedalWalker-v3/critic.optimizer.pth +1 -1
- sac-BipedalWalker-v3/data +9 -9
- sac-BipedalWalker-v3/ent_coef_optimizer.pth +1 -1
- sac-BipedalWalker-v3/policy.pth +1 -1
- sac-BipedalWalker-v3/pytorch_variables.pth +1 -1
README.md
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type: BipedalWalker-v3
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: BipedalWalker-v3
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metrics:
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- type: mean_reward
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value: 318.72 +/- 0.65
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name: mean_reward
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verified: false
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---
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config.json
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{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnNhYy5wb2xpY2llc5SMCVNBQ1BvbGljeZSTlC4=", "__module__": "stable_baselines3.sac.policies", "__annotations__": "{'actor': <class 'stable_baselines3.sac.policies.Actor'>, 'critic': <class 'stable_baselines3.common.policies.ContinuousCritic'>, 'critic_target': <class 'stable_baselines3.common.policies.ContinuousCritic'>}", "__doc__": "\n Policy class (with both actor and critic) for SAC.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param use_expln: Use ``expln()`` function instead of ``exp()`` when using gSDE 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 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 0x0000028A8DCBD900>", "_build": "<function SACPolicy._build at 0x0000028A8DCBD990>", "_get_constructor_parameters": "<function SACPolicy._get_constructor_parameters at 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It allows to keep variance\n above zero and prevent it from growing too fast. 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