| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__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 0x7f7699e03680>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7699e03710>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7699e037a0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7699e03830>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f7699e038c0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f7699e03950>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7699e039e0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f7699e03a70>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7699e03b00>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7699e03b90>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7699e03c20>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f7699e57240>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "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 | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "n": 4, | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 32, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1652294061.3504024, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": "runs/3oqb7f7p", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4=" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.015808000000000044, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 620, | |
| "n_steps": 1024, | |
| "gamma": 0.999, | |
| "gae_lambda": 0.98, | |
| "ent_coef": 0.01, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 20, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |