| { | |
| "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 0x7f68ed9eb4c0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f68ed9eb550>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f68ed9eb5e0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f68ed9eb670>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f68ed9eb700>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f68ed9eb790>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f68ed9eb820>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f68ed9eb8b0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f68ed9eb940>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f68ed9eb9d0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f68ed9eba60>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f68ed9ebaf0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f68eda4db10>" | |
| }, | |
| "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": 2300000, | |
| "_total_timesteps": 2300000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1677580805434152403, | |
| "learning_rate": 0.00096, | |
| "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": 71983, | |
| "n_steps": 8, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.9, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.4, | |
| "max_grad_norm": 0.5, | |
| "normalize_advantage": false | |
| } |