| {"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 0x7f8aa6b9c440>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8aa6b9c4d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f8aa6b9c560>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8aa6b9c5f0>", "_build": "<function ActorCriticPolicy._build at 0x7f8aa6b9c680>", "forward": "<function ActorCriticPolicy.forward at 0x7f8aa6b9c710>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8aa6b9c7a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f8aa6b9c830>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8aa6b9c8c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8aa6b9c950>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8aa6b9c9e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f8aa6b79060>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gASVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/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:": "gASVwwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBVudW1weS5jb3JlLm11bHRpYXJyYXmUjAxfcmVjb25zdHJ1Y3SUk5RoBowHbmRhcnJheZSTlEsAhZRDAWKUh5RSlChLAUsIhZRoColDIAAAgL8AAIC/AACAvwAAgL8AAIC/AACAvwAAgL8AAIC/lHSUYowEaGlnaJRoEmgUSwCFlGgWh5RSlChLAUsIhZRoColDIAAAgD8AAIA/AACAPwAAgD8AAIA/AACAPwAAgD8AAIA/lHSUYowNYm91bmRlZF9iZWxvd5RoEmgUSwCFlGgWh5RSlChLAUsIhZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDCAEBAQEBAQEBlHSUYowNYm91bmRlZF9hYm92ZZRoEmgUSwCFlGgWh5RSlChLAUsIhZRoKolDCAEBAQEBAQEBlHSUYowKX25wX3JhbmRvbZROdWIu", "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": 1669661918471671784, "learning_rate": 0.00096, "tensorboard_log": "./tensorboard", "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASVTQIAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwRLHIaUaAOMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiULAAQAAo3ArvjGPBECKV2rAPSCivUj7aj/FRNK/OAJNP77jPr/L7EnAQna4PV+uPT/4Rns/tCaBPxNJi7/4yCI/8g98QC2Sdz+pv4y/cABKP58Ohr6OB44+IQ0zwN2fNb7eEdq+IruXv2R2Az/nIwE/0BCVvyYKSD8Emsc/kJrOvtafjj9aise+wX2CP/MD1746R7G/zLQtP6BOrb2J7qY/WomhPg1MfL4NaTzARvVYP0GULD7V1A2//43sv6mZ9z70utk/f/U8vxr+Fb5DWmi/w1Z/uQ72Vz/oQfm/5yMBP9AQlb+frca+BitovoqgBT/V6cY+emEdO17K0r5dDAe/+i5avxlyKz8UKO28t9nLvr6Wvr+HL32/S+QmP/ZyWT9WjvI8ReMuPudBAD/I080+fK8VvysfTb9C4cY9l94ePpIFE0Aiu5e/ZHYDP+cjAT/QEJW/dzPPPrFYlz9SPTM96dmEP/BZFT8OsdS+MIZcP82PP7+JeCo/Eu8tvaT0Bb63vSDAL2yLP0+axD/jCzE+GhPrPwQo0T5qsCNAQmM0P1QEjL/x/B5AFYa5P2XqjD/EcTA/IruXv2R2Az/nIwE/lNJbP5R0lGIu"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASVjAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwSFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDBAAAAACUdJRiLg=="}, "_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:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_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-5.10.133+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.7.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}} |