{"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 0x7f90cbd85820>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f90cbd858b0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f90cbd85940>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f90cbd859d0>", "_build": "<function ActorCriticPolicy._build at 0x7f90cbd85a60>", "forward": "<function ActorCriticPolicy.forward at 0x7f90cbd85af0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f90cbd85b80>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f90cbd85c10>", "_predict": "<function ActorCriticPolicy._predict at 0x7f90cbd85ca0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f90cbd85d30>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f90cbd85dc0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f90cbd85e50>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f90cbd8efc0>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679197620321148127, "learning_rate": 0.00096, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVNQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJbAAQAAAAAAAJ4ahL7LDjE/CJoZPhzHaD/gy+C+QJFJPms5kz7IBLU9pUoqP9bSmr8miRK/0IkSwCF6m7+4iqe9AJ9Zvl+vKD8wNmS/F2gCv4o/wj40fIq/vYHUvt3QeL/DH2u+ChxoPsQyib9e1OA+fCbRPkq2Nj+//2e+NJObPxvlA7/P45E8HgTvP2CmdMC23Je+xHmvvSwlhDx3lc+8qEiTPvYFCkAljsU+9lilvsKA8j54G7m/8Jl1P8pjBEA0STq98C9ZPw2NLT/zVmxAPymsO6uREsDEMom/XtTgPnwm0T6gV7O/zQhbP920dD5yD+4+w+WSP+RUxD/NmvM+Qgd7P4sDCL9XbJK+FLuJPzXQvz8iwVK/bBsQvpO29z/9XYC/nWL7Pa7wwzyclK4/jbMXPzmbKD5GGBQ/PKw3vnNxLz87g5E+xDKJv17U4D4HrBzAoFezv4JHiD/IHgk/8v2PPhL4X77jAAG+ohHPPVbc+D9+ed4/6PNcvp7nfbwSHGw/4Bz7Pt9Gpb9kSNc90z2FPld0Gj6UfKC/nB4avh6xK8AYdk0/vFssQCcpQb/cXGO/cvCDvDfWbj/3vhHAfCbRPkq2Nj+UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwRLHIaUjAFDlHSUUpQu"}, "_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": 62500, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |