| { | |
| "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 0x7f80db052ee0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f80db052f70>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f80db054040>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f80db0540d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f80db054160>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f80db0541f0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f80db054280>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f80db054310>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f80db0543a0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f80db054430>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f80db0544c0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f80db054550>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f80db053880>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 24 | |
| ], | |
| "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]", | |
| "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]", | |
| "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]", | |
| "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]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 4 | |
| ], | |
| "low": "[-1. -1. -1. -1.]", | |
| "high": "[1. 1. 1. 1.]", | |
| "bounded_below": "[ True True True True]", | |
| "bounded_above": "[ True True True True]", | |
| "_np_random": "RandomState(MT19937)" | |
| }, | |
| "n_envs": 1, | |
| "num_timesteps": 100007936, | |
| "_total_timesteps": 100000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": 0, | |
| "action_noise": null, | |
| "start_time": 1676838353051283922, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": "runs/BipedalWalkerHardcore-v3__ppo__2273753488__1676838329/BipedalWalkerHardcore-v3", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -7.935999999997279e-05, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 30520, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.001, | |
| "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 | |
| } |