| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__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 0x7fbfe3cbfd40>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbfe3cbfdd0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbfe3cbfe60>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbfe3cbfef0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fbfe3cbff80>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fbfe3cc6050>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbfe3cc60e0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fbfe3cc6170>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbfe3cc6200>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbfe3cc6290>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbfe3cc6320>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fbfe3d1a390>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "shape": [ | |
| 7 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False]", | |
| "bounded_above": "[False False False False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.discrete.Discrete'>", | |
| ":serialized:": "gASVgQAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLAowFc2hhcGWUKYwFZHR5cGWUjAVudW1weZRoB5OUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=", | |
| "n": 2, | |
| "shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 1, | |
| "num_timesteps": 5120, | |
| "_total_timesteps": 5000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1656534973.8442714, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASVpgAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwFLB4aUaAOMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiUMck32uQdbSbL9N9plAbYKZQTMzN0IAAARCAAAoQpR0lGIu" | |
| }, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASViQAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwGFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDAQCUdJRiLg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.02400000000000002, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 20, | |
| "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:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |