| { | |
| "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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7fd6b4fcd160>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd6b4fcd1f0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd6b4fcd280>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd6b4fcd310>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fd6b4fcd3a0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fd6b4fcd430>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fd6b4fcd4c0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd6b4fcd550>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fd6b4fcd5e0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd6b4fcd670>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd6b4fcd700>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd6b4fcd790>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7fd6b4fccf40>" | |
| }, | |
| "verbose": true, | |
| "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": 1, | |
| "num_timesteps": 251904, | |
| "_total_timesteps": 250000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1676213409926196209, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.007616000000000067, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 1790, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 10, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |