| {"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 0x7f625bb89160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f625bb891f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f625bb89280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f625bb89310>", "_build": "<function ActorCriticPolicy._build at 0x7f625bb893a0>", "forward": "<function ActorCriticPolicy.forward at 0x7f625bb89430>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f625bb894c0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f625bb89550>", "_predict": "<function ActorCriticPolicy._predict at 0x7f625bb895e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f625bb89670>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f625bb89700>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f625bb89790>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f625bb7f2d0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [28], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 3000000, "_total_timesteps": 3000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678330148384139228, "learning_rate": 0.00096, "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 0, "use_sde": true, "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": 93750, "n_steps": 8, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.15.0-50-generic-x86_64-with-glibc2.29 # 56~20.04.1-Ubuntu SMP Tue Sep 27 15:51:29 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.8.0a2", "PyTorch": "1.12.0+cu113", "GPU Enabled": "True", "Numpy": "1.20.1", "Gym": "0.21.0"}} |