| { | |
| "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 0x7f468d95db40>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f468d95dbd0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f468d95dc60>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f468d95dcf0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f468d95dd80>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f468d95de10>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f468d95dea0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f468d95df30>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f468d95dfc0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f468d95e050>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f468d95e0e0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f468d95e170>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f462ca4cb80>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "num_timesteps": 1000448, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1684855966434687964, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAEDTwD1OpNQ+JW7aPaeRV748aSM8njGXOwAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.00044800000000000395, | |
| "_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": 3908, | |
| "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": 1, | |
| "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, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu" | |
| } | |
| } |