| { | |
| "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 0x7f08be5ddca0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f08be5ddd30>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f08be5dddc0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f08be5dde50>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f08be5ddee0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f08be5ddf70>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f08be5e1040>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f08be5e10d0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f08be5e1160>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f08be5e11f0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f08be5e1280>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f08be659480>" | |
| }, | |
| "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": 1671717510358902352, | |
| "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": 310, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.5, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 64, | |
| "n_epochs": 10, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg==" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |