| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__module__": "stable_baselines3.common.policies", | |
| "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\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 ortho_init: Whether to use or not orthogonal initialization\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 full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. 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 0x7f0df5b5c950>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0df5b5c9e0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0df5b5ca70>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0df5b5cb00>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f0df5b5cb90>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f0df5b5cc20>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0df5b5ccb0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f0df5b5cd40>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0df5b5cdd0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0df5b5ce60>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0df5b5cef0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f0df5bad840>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False]", | |
| "bounded_above": "[False False False False False False False False]", | |
| "_np_random": null, | |
| "_shape": [ | |
| 8 | |
| ] | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.discrete.Discrete'>", | |
| ":serialized:": "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", | |
| "n": 4, | |
| "dtype": "int64", | |
| "_np_random": "RandomState(MT19937)", | |
| "_shape": [] | |
| }, | |
| "n_envs": 2, | |
| "num_timesteps": 200704, | |
| "_total_timesteps": 200000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": 0, | |
| "action_noise": null, | |
| "start_time": 1640704130.7922952, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASVigAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwKFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDAgAAlHSUYi4=" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.0035199999999999676, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 196, | |
| "n_steps": 512, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.98, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.0, | |
| "max_grad_norm": 0.0, | |
| "normalize_advantage": true, | |
| "batch_size": 128, | |
| "cg_max_steps": 15, | |
| "cg_damping": 0.01, | |
| "line_search_shrinking_factor": 0.8, | |
| "line_search_max_iter": 10, | |
| "target_kl": 0.01, | |
| "n_critic_updates": 15, | |
| "sub_sampling_factor": 1 | |
| } |