|
{ |
|
"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 0x7f840c021670>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f840c021700>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f840c021790>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f840c021820>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f840c0218b0>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f840c021940>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f840c0219d0>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f840c021a60>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f840c021af0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f840c021b80>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f840c021c10>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f840c021ca0>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc._abc_data object at 0x7f840c01fb00>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"observation_space": { |
|
":type:": "<class 'gym.spaces.box.Box'>", |
|
":serialized:": "gAWVYwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLAoWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAACamZm/KVyPvZRoCksChZSMAUOUdJRSlIwEaGlnaJRoEiiWCAAAAAAAAACamRk/KVyPPZRoCksChZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolgIAAAAAAAAAAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLAoWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYCAAAAAAAAAAEBlGghSwKFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", |
|
"dtype": "float32", |
|
"_shape": [ |
|
2 |
|
], |
|
"low": "[-1.2 -0.07]", |
|
"high": "[0.6 0.07]", |
|
"bounded_below": "[ True True]", |
|
"bounded_above": "[ True True]", |
|
"_np_random": null |
|
}, |
|
"action_space": { |
|
":type:": "<class 'gym.spaces.discrete.Discrete'>", |
|
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLA4wGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", |
|
"n": 3, |
|
"_shape": [], |
|
"dtype": "int64", |
|
"_np_random": null |
|
}, |
|
"n_envs": 16, |
|
"num_timesteps": 1015808, |
|
"_total_timesteps": 1000000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1679208243987788809, |
|
"learning_rate": 0.0003, |
|
"tensorboard_log": null, |
|
"lr_schedule": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"_last_obs": { |
|
":type:": "<class 'numpy.ndarray'>", |
|
":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAAZQ4r69zM671jDzvgTF8TpFUwS/Ho5FupjfE7/7Dka8038Mv39RLLtoKQa/FzwJvCG0Lr+YNBo60rUlv0aoR7z0KOu+L6kcOywO977MroY62YABvygA1zsW++a+B3JeOLtG/L6pnc+7xNz/vpGsAbyaAP6+q84lvGMuDb9irfY7lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg==" |
|
}, |
|
"_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, |
|
"ep_info_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "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" |
|
}, |
|
"ep_success_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
|
}, |
|
"_n_updates": 248, |
|
"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 |
|
} |