| { | |
| "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 0x7f250eaa8b00>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f250eaa8b90>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f250eaa8c20>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f250eaa8cb0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f250eaa8d40>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f250eaa8dd0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f250eaa8e60>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f250eaa8ef0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f250eaa8f80>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f250eaad050>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f250eaad0e0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f250ea80480>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gASVwwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBVudW1weS5jb3JlLm11bHRpYXJyYXmUjAxfcmVjb25zdHJ1Y3SUk5RoBowHbmRhcnJheZSTlEsAhZRDAWKUh5RSlChLAUsIhZRoColDIAAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/lHSUYowEaGlnaJRoEmgUSwCFlGgWh5RSlChLAUsIhZRoColDIAAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/lHSUYowNYm91bmRlZF9iZWxvd5RoEmgUSwCFlGgWh5RSlChLAUsIhZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDCAAAAAAAAAAAlHSUYowNYm91bmRlZF9hYm92ZZRoEmgUSwCFlGgWh5RSlChLAUsIhZRoKolDCAAAAAAAAAAAlHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "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:": "gASVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "n": 4, | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 16, | |
| "num_timesteps": 507904, | |
| "_total_timesteps": 500000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1653668475.8681943, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASVjQIAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxBLCIaUaAOMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiUIAAgAAs1K8Pfb0ULo6PaA4735gM6GBTLsqf7y3AACAPwAAAAAz5bU9fSW2P/PAfj6c/7S+pGHhOx87Mj4AAAAAAAAAAM3aYzxsRK27Ox5wPT6WZ75PkY08WkvWPgAAgD8AAIA/M4LlvOyggDyTVzk9YEcsvnALVj11f429AAAAAAAAAABzfpQ97MeqOg1Gor2MH2O+wtQvvIz+rjwAAAAAAAAAAGadzjxGGLs/okijPpNFQT7Zoeq8njKSvQAAAAAAAAAAZvLwPCmIarqe1os6up52NYksy7pUGaS5AACAPwAAgD/NG4C83ECwP15OGb4qgIy+T2onuyrUzr0AAAAAAAAAAOafE70pmGC6LnLiuiQ5A7aywkS7LyoFOgAAgD8AAIA/2mXIPVyzK7oIw2a5WXs8tiPu8DnWcok4AAAAAAAAgD8avCs9McSkPQpR+T1x4G++FszYPWVWujwAAAAAAAAAAM1/9DyFnqc8vDqavTuKNr4zvGW9TYjHvAAAAAAAAAAAANH6PI+CV7rZl7I3jTIksgauG7uYds22AACAPwAAgD9G7A8+VWAXPjqkiL5CXYa+6o0VvtG9G7wAAAAAAAAAAJr9Ij32TDW6UiqHutlhA7b+PTI66oSdOQAAgD8AAIA/M1iSPORuTT91v1W9ISzKvuYGYjyK+hG9AAAAAAAAAACUdJRiLg==" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg==" | |
| }, | |
| "_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:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 252, | |
| "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": 4, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |