| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gASVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=", | |
| "__module__": "stable_baselines3.td3.policies", | |
| "__doc__": "\n Policy class (with both actor and critic) for TD3.\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 ", | |
| "__init__": "<function TD3Policy.__init__ at 0x7f08afd4d170>", | |
| "_build": "<function TD3Policy._build at 0x7f08afd4d200>", | |
| "_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x7f08afd4d290>", | |
| "make_actor": "<function TD3Policy.make_actor at 0x7f08afd4d320>", | |
| "make_critic": "<function TD3Policy.make_critic at 0x7f08afd4d3b0>", | |
| "forward": "<function TD3Policy.forward at 0x7f08afd4d440>", | |
| "_predict": "<function TD3Policy._predict at 0x7f08afd4d4d0>", | |
| "set_training_mode": "<function TD3Policy.set_training_mode at 0x7f08afd4d560>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f08afd4a1e0>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| "net_arch": [ | |
| 400, | |
| 300 | |
| ] | |
| }, | |
| "observation_space": { | |
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| "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf 1.]", | |
| "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False True]", | |
| "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False True]", | |
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| }, | |
| "_n_updates": 990000, | |
| "buffer_size": 1, | |
| "batch_size": 100, | |
| "learning_starts": 10000, | |
| "tau": 0.005, | |
| "gamma": 0.98, | |
| "gradient_steps": -1, | |
| "optimize_memory_usage": false, | |
| "replay_buffer_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
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| "__module__": "stable_baselines3.common.buffers", | |
| "__doc__": "\n Replay buffer used in off-policy algorithms like SAC/TD3.\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:\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n of the replay buffer which reduces by almost a factor two the memory used,\n at a cost of more complexity.\n See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\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 ", | |
| "__init__": "<function ReplayBuffer.__init__ at 0x7f08b01cab90>", | |
| "add": "<function ReplayBuffer.add at 0x7f08b01cac20>", | |
| "sample": "<function ReplayBuffer.sample at 0x7f08afd2f7a0>", | |
| "_get_samples": "<function ReplayBuffer._get_samples at 0x7f08afd2f830>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f08b02215d0>" | |
| }, | |
| "replay_buffer_kwargs": {}, | |
| "train_freq": { | |
| ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", | |
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| }, | |
| "use_sde_at_warmup": false, | |
| "policy_delay": 2, | |
| "target_noise_clip": 0.5, | |
| "target_policy_noise": 0.2, | |
| "_last_dones": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
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| }, | |
| "remove_time_limit_termination": false | |
| } |