| { | |
| "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 0x78a4b81d5480>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x78a4b81d5510>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x78a4b81d55a0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x78a4b81d5630>", | |
| "_build": "<function ActorCriticPolicy._build at 0x78a4b81d56c0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x78a4b81d5750>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x78a4b81d57e0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x78a4b81d5870>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x78a4b81d5900>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x78a4b81d5990>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x78a4b81d5a20>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x78a4b81d5ab0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x78a4b8167100>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1015808, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1701354936612778331, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.015808000000000044, | |
| "_stats_window_size": 100, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 310, | |
| "observation_space": { | |
| ":type:": "<class 'gymnasium.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", | |
| "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", | |
| ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", | |
| "n": "4", | |
| "start": "0", | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 16, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "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, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu" | |
| } | |
| } |