| { | |
| "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 0x7f23fa85a700>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f23fa85a790>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f23fa85a820>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f23fa85a8b0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f23fa85a940>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f23fa85a9d0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f23fa85aa60>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f23fa85aaf0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f23fa85ab80>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f23fa85ac10>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f23fa85aca0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f23fa85ad30>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f23fa858150>" | |
| }, | |
| "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": 1, | |
| "num_timesteps": 1020416, | |
| "_total_timesteps": 1020000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1675880896392841772, | |
| "learning_rate": 0.0006, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAOaeAj7sEaK7lqyrPZ2hRrx4pg+9aRwpvQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_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": -0.0004078431372549485, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 33881, | |
| "n_steps": 512, | |
| "gamma": 0.997, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 6.38e-06, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.31, | |
| "batch_size": 32, | |
| "n_epochs": 17, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |