| { | |
| "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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f8435df9040>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8435df90d0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f8435df9160>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8435df91f0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f8435df9280>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f8435df9310>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8435df93a0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f8435df9430>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8435df94c0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8435df9550>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8435df95e0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f8435df08d0>" | |
| }, | |
| "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": 1672664839390291322, | |
| "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+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg==" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |