| { | |
| "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 0x7f70cfea7b80>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f70cfea7c10>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f70cfea7ca0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f70cfea7d30>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f70cfea7dc0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f70cfea7e50>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f70cfea7ee0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f70cfea7f70>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f70cfeaa040>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f70cfeaa0d0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f70cfeaa160>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f70cfea5390>" | |
| }, | |
| "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": 32, | |
| "num_timesteps": 1245184, | |
| "_total_timesteps": 1245184, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1670724083308474628, | |
| "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:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4=" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": 0.0, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 1624, | |
| "n_steps": 2048, | |
| "gamma": 0.999, | |
| "gae_lambda": 0.97, | |
| "ent_coef": 0.01, | |
| "vf_coef": 0.4, | |
| "max_grad_norm": 0.5, | |
| "batch_size": 128, | |
| "n_epochs": 8, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg==" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |