| {"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 0x7f03cc0ef430>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f03cc0ef4c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f03cc0ef550>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f03cc0ef5e0>", "_build": "<function ActorCriticPolicy._build at 0x7f03cc0ef670>", "forward": "<function ActorCriticPolicy.forward at 0x7f03cc0ef700>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f03cc0ef790>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f03cc0ef820>", "_predict": "<function ActorCriticPolicy._predict at 0x7f03cc0ef8b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f03cc0ef940>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f03cc0ef9d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f03cc0efa60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f03cc0eb810>"}, "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": 1678269101955792433, "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:": "gAWVNQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJbAAQAAAAAAAAAAAAC3DUW2AACAPwAAAAAAAAAAAAAAAAAAAAAAAACAq1xHPQAAAABSKe+/AAAAADpIdj0AAAAADsbtPwAAAAB98MY7AAAAANoe8z8AAAAAREgOPgAAAADKUfS/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWVa7tgAAgD8AAAAAAAAAAAAAAAAAAAAAAAAAgL4HgzwAAAAAE17zvwAAAABwOw29AAAAAPhC8D8AAAAAz2vlvQAAAABij+U/AAAAAAlgkj0AAAAAXWb2vwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJ6YzzYAAIA/AAAAAAAAAAAAAAAAAAAAAAAAAIDqPpG8AAAAANvq9r8AAAAABA3LPQAAAAB7Afo/AAAAAKfSBD4AAAAAB3LcPwAAAAAS+r+8AAAAAKPN378AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAByf/m1AACAPwAAAAAAAAAAAAAAAAAAAAAAAACAIbSkvAAAAAAMzfK/AAAAAAQekzoAAAAAISPoPwAAAADsvDu9AAAAAADI/j8AAAAAxaNWPQAAAAARqOW/AAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwRLHIaUjAFDlHSUUpQu"}, "_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-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |