|
{ |
|
"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 0x7efc4c595dc0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7efc4c595e50>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7efc4c595ee0>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7efc4c595f70>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7efc4c599040>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7efc4c5990d0>", |
|
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7efc4c599160>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7efc4c5991f0>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7efc4c599280>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7efc4c599310>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7efc4c5993a0>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7efc4c599430>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc_data object at 0x7efc4c5970f0>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"observation_space": { |
|
":type:": "<class 'gym.spaces.box.Box'>", |
|
":serialized:": "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", |
|
"dtype": "float32", |
|
"_shape": [ |
|
8 |
|
], |
|
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", |
|
"high": "[inf inf inf inf inf inf inf inf]", |
|
"bounded_below": "[False False False False False False False False]", |
|
"bounded_above": "[False False False False False False False False]", |
|
"_np_random": null |
|
}, |
|
"action_space": { |
|
":type:": "<class 'gym.spaces.discrete.Discrete'>", |
|
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", |
|
"n": 4, |
|
"_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": 1676089888840032641, |
|
"learning_rate": 0.0003, |
|
"tensorboard_log": null, |
|
"lr_schedule": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"_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, |
|
"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:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg==" |
|
}, |
|
"clip_range_vf": null, |
|
"normalize_advantage": true, |
|
"target_kl": null |
|
} |