| { | |
| "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 0x7f8a5d600a60>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8a5d600ae8>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f8a5d600b70>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8a5d600bf8>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f8a5d600c80>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f8a5d600d08>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8a5d600d90>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f8a5d600e18>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8a5d600ea0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8a5d600f28>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8a5d603048>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_registry": "<_weakrefset.WeakSet object at 0x7f8a5d5f3b38>", | |
| "_abc_cache": "<_weakrefset.WeakSet object at 0x7f8a5d5f3b70>", | |
| "_abc_negative_cache": "<_weakrefset.WeakSet object at 0x7f8a5d5f3ba8>", | |
| "_abc_negative_cache_version": 58 | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gAWVpAEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBXNoYXBllEsIhZSMA2xvd5SMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/lGgLSwiFlIwBQ5R0lFKUjARoaWdolGgTKJYgAAAAAAAAAAAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/lGgLSwiFlGgWdJRSlIwNYm91bmRlZF9iZWxvd5RoEyiWCAAAAAAAAAAAAAAAAAAAAJRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZRoFnSUUpSMDWJvdW5kZWRfYWJvdmWUaBMolggAAAAAAAAAAAAAAAAAAACUaCJLCIWUaBZ0lFKUjApfbnBfcmFuZG9tlE51Yi4=", | |
| "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:": "gAWVhwAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZSMBWR0eXBllJOUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=", | |
| "n": 4, | |
| "shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 16, | |
| "num_timesteps": 7012352, | |
| "_total_timesteps": 7000000, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1651843448.3269794, | |
| "learning_rate": 0.00015, | |
| "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": -0.0017645714285714487, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 2568, | |
| "n_steps": 2048, | |
| "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": 12, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWV6QIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxdL3NzZF9zY3JhdGNoL21pbmljb25kYTMvZW52cy9kbC9saWIvcHl0aG9uMy42L3NpdGUtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxdL3NzZF9zY3JhdGNoL21pbmljb25kYTMvZW52cy9kbC9saWIvcHl0aG9uMy42L3NpdGUtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu" | |
| }, | |
| "clip_range_vf": null, | |
| "target_kl": null | |
| } |