|
{ |
|
"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 0x7e9ae46137f0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e9ae4613880>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e9ae4613910>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e9ae46139a0>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7e9ae4613a30>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7e9ae4613ac0>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7e9ae4613b50>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e9ae4613be0>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7e9ae4613c70>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e9ae4613d00>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e9ae4613d90>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7e9ae4613e20>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x7e9ae4618c00>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"num_timesteps": 1015808, |
|
"_total_timesteps": 1000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1710479742419639743, |
|
"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": 248, |
|
"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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", |
|
"n": "4", |
|
"start": "0", |
|
"_shape": [], |
|
"dtype": "int64", |
|
"_np_random": null |
|
}, |
|
"n_envs": 16, |
|
"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" |
|
} |
|
} |