Delete td3-PandaReachDense-v3
Browse files- td3-PandaReachDense-v3/_stable_baselines3_version +0 -1
- td3-PandaReachDense-v3/actor.optimizer.pth +0 -3
- td3-PandaReachDense-v3/critic.optimizer.pth +0 -3
- td3-PandaReachDense-v3/data +0 -114
- td3-PandaReachDense-v3/policy.pth +0 -3
- td3-PandaReachDense-v3/pytorch_variables.pth +0 -3
- td3-PandaReachDense-v3/system_info.txt +0 -9
td3-PandaReachDense-v3/_stable_baselines3_version
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2.3.2
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td3-PandaReachDense-v3/actor.optimizer.pth
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td3-PandaReachDense-v3/critic.optimizer.pth
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td3-PandaReachDense-v3/data
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"__doc__": "\n Policy class (with both actor and critic) for TD3 to be used with Dict observation spaces.\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 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 ",
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"__doc__": "\n Dict Replay buffer used in off-policy algorithms like SAC/TD3.\n Extends the ReplayBuffer to use dictionary observations\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param device: PyTorch device\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n ",
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