| { | |
| "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 0x7fabd0a5d820>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fabd0a5d8b0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fabd0a5d940>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fabd0a5d9d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fabd0a5da60>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fabd0a5daf0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fabd0a5db80>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fabd0a5dc10>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fabd0a5dca0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fabd0a5dd30>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fabd0a5ddc0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fabd0a5de50>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fabd0a579f0>" | |
| }, | |
| "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": 1674596460340677439, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAACYRxL0UqIa681JSuwrcdTint4U6e53kOQAAgD8AAAAAwNGVPksiWz/8nUA+Suq1vkqasj7Qy4S9AAAAAAAAAACdsFW+uydwP+dBFb70yZa+Bxg/vj4hhjwAAAAAAAAAAJPcPz5XvnU+k8CFvpGvqL6VH7u89zgBvQAAAAAAAAAAwAWcvfbsWLoWM5o6igI0OWEZ3zpGpjC5AACAPwAAgD+zlQg9xTbtPnPofL3GpIq+Py4wu+oeMD0AAAAAAAAAAACcNLz2OGq69XCiuLoSh7PHCew6C32+NwAAgD8AAIA/AJZhPN+MrT+1FYc+cgf3vr/hMbwS58G8AAAAAAAAAACaraW9beAzP2GcKr0pWIu+0/pqPPXX5rwAAAAAAAAAAHqWMb68Sic/kBiZPX8/jb6dWJ68AtUAPQAAAAAAAAAAAI/mvBQQpD8xnQ6+lUjsvukBgL1x1bq9AAAAAAAAAACAfd29e/6AuuuJxTsLUXW1tXjeuqs3dbQAAIA/AAAAAA3MDb5aXxU/1QxEPiCNcb41Iew8YuPpPQAAAAAAAAAAxosAvr5Mmz8i14O+TRHJvnZiAL7uJT06AAAAAAAAAABdYoo+tDXPPqIIuL437Yi+KDoavbDpX70AAAAAAAAAAMaWUr5O0/e8LkQlvkcSx7w04Fg+sCqXPQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_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 | |
| } |