| { | |
| "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 0x7f6161d4b950>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6161d4b9e0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6161d4ba70>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6161d4bb00>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f6161d4bb90>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f6161d4bc20>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6161d4bcb0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f6161d4bd40>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6161d4bdd0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6161d4be60>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6161d4bef0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f6161d9d840>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| ":type:": "<class 'dict'>", | |
| ":serialized:": "gASVjgAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA1hY3RpdmF0aW9uX2ZulIwbdG9yY2gubm4ubW9kdWxlcy5hY3RpdmF0aW9ulIwEUmVMVZSTlIwIbmV0X2FyY2iUXZR9lCiMAnBplF2UKE0AAU0AAWWMAnZmlF2UKE0AAU0AAWV1YXUu", | |
| "log_std_init": -2, | |
| "ortho_init": false, | |
| "activation_fn": "<class 'torch.nn.modules.activation.ReLU'>", | |
| "net_arch": [ | |
| { | |
| "pi": [ | |
| 256, | |
| 256 | |
| ], | |
| "vf": [ | |
| 256, | |
| 256 | |
| ] | |
| } | |
| ] | |
| }, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float64", | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False False False False]", | |
| "bounded_above": "[False False False False False False False False False False False]", | |
| "_np_random": null, | |
| "_shape": [ | |
| 11 | |
| ] | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "low": "[-1. -1. -1.]", | |
| "high": "[1. 1. 1.]", | |
| "bounded_below": "[ True True True]", | |
| "bounded_above": "[ True True True]", | |
| "_np_random": "RandomState(MT19937)", | |
| "_shape": [ | |
| 3 | |
| ] | |
| }, | |
| "n_envs": 1, | |
| "num_timesteps": 1000448, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": 0, | |
| "action_noise": null, | |
| "start_time": 1637082108.2294784, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gASV2QIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxVL3ZvbHVtZS9VU0VSU1RPUkUvcmFmZl9hbi9wcm9qZWN0cy90b3JjaHktYmFzZWxpbmVzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMVS92b2x1bWUvVVNFUlNUT1JFL3JhZmZfYW4vcHJvamVjdHMvdG9yY2h5LWJhc2VsaW5lcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoIH2UfZQoaBdoDowMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBiMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPxm2OaxW3R2FlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4=" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASViQAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwGFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDAQCUdJRiLg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gASV4gAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwFLC4aUaAOMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiUNYh2jyPgQH9D9wlxwhrzE/v55pbDHx+WQ/b6X7OZYdcz/STfH7cJ9ZvyS/GIJ91Vo/ouA4FIFoZz+ASbtkqpRWvxT5KXiO81i/QMaKFAoKJj/SxzsFaEhav5R0lGIu" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.00044800000000000395, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 9770, | |
| "n_steps": 512, | |
| "gamma": 0.999, | |
| "gae_lambda": 0.99, | |
| "ent_coef": 0.00229519, | |
| "vf_coef": 0.835671, | |
| "max_grad_norm": 0.7, | |
| "batch_size": 32, | |
| "n_epochs": 5, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |