| { | |
| "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 0x7f1ae2251ca0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f1ae2251d30>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f1ae2251dc0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f1ae2251e50>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f1ae2251ee0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f1ae2251f70>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f1ae2256040>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f1ae22560d0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f1ae2256160>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f1ae22561f0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f1ae2256280>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f1ae2256310>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f1ae224e600>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| ":type:": "<class 'dict'>", | |
| ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", | |
| "log_std_init": -2, | |
| "ortho_init": false, | |
| "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", | |
| "optimizer_kwargs": { | |
| "alpha": 0.99, | |
| "eps": 1e-05, | |
| "weight_decay": 0 | |
| } | |
| }, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 28 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", | |
| "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", | |
| "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_np_random": null | |
| }, | |
| "n_envs": 4, | |
| "num_timesteps": 2000000, | |
| "_total_timesteps": 2000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1675965857742763064, | |
| "learning_rate": 0.0007, | |
| "tensorboard_log": null, | |
| "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": true, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": 0.0, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 62500, | |
| "n_steps": 8, | |
| "gamma": 0.98, | |
| "gae_lambda": 0.9, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.4, | |
| "max_grad_norm": 0.5, | |
| "normalize_advantage": false | |
| } |