{"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 0x7eff44164d30>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7eff44164dc0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7eff44164e50>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7eff44164ee0>", "_build": "<function ActorCriticPolicy._build at 0x7eff44164f70>", "forward": "<function ActorCriticPolicy.forward at 0x7eff44168040>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7eff441680d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7eff44168160>", "_predict": "<function ActorCriticPolicy._predict at 0x7eff441681f0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7eff44168280>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7eff44168310>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7eff441683a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7eff4415f680>"}, "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": 1074252, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678764214657803571, "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": 0.46287999999999996, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 33570, "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"}}