{
    "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 0x7f96c5225630>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f96c52256c0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f96c5225750>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f96c52257e0>",
        "_build": "<function ActorCriticPolicy._build at 0x7f96c5225870>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f96c5225900>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f96c5225990>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f96c5225a20>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f96c5225ab0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f96c5225b40>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f96c5225bd0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f96c5225c60>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f96c521e7c0>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1683646934072424664,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "_last_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "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"
    },
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": null,
    "_episode_num": 0,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": -0.015808000000000044,
    "_stats_window_size": 100,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVRAwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQGEcKA8SwnqMAWyUTegDjAF0lEdAnz0Wd7OVxHV9lChoBkdAZRyWkadc0WgHTegDaAhHQJ9OeVt4zJp1fZQoaAZHQFpuXYlIEr5oB03oA2gIR0CfVuVbzK9xdX2UKGgGR0BjJyZ2IO6NaAdN6ANoCEdAn1ygRK6FunV9lChoBkdAYOxF7Uoa1mgHTegDaAhHQJ9hgZBLPD51fZQoaAZHQGQc+1a4c3loB03oA2gIR0CfZFS+g13udX2UKGgGR0BhdO56MR6GaAdN6ANoCEdAn2Tj5XU6P3V9lChoBkdAYXdwm3OObWgHTegDaAhHQJ9oTLW7OFB1fZQoaAZHQDR+gVXV9WpoB00SAWgIR0Cfa5uEEkjYdX2UKGgGR0BeRBO58Sf2aAdN6ANoCEdAn3lVGkN4JXV9lChoBkdAXE0KYzBRAWgHTegDaAhHQJ+Ayu7pV0d1fZQoaAZHQGBBv5P/JeVoB03oA2gIR0CfhMyhSLqEdX2UKGgGR0BirsDr7fpEaAdN6ANoCEdAn4UT3IuGsXV9lChoBkdAXXxjBl+VkmgHTegDaAhHQJ+G1MXaakR1fZQoaAZHQF+QX/HYHxBoB03oA2gIR0Cfh8oRIz3zdX2UKGgGR0BjkCKm8/UwaAdN6ANoCEdAn5LuLFXJYHV9lChoBkdAZ0Wn4wh4dWgHTegDaAhHQJ+VwvkBCD51fZQoaAZHQGgOuMl1KXhoB03oA2gIR0CfmPEOy3TedX2UKGgGR0BhHMriEQGwaAdN6ANoCEdAn5psUEgW8HV9lChoBkdAW+0c81XNkmgHTegDaAhHQJ/Ami0v4/N1fZQoaAZHQGN2ggow22poB03oA2gIR0CfxpGLDQ7cdX2UKGgGR0BgzLvw3HaOaAdN6ANoCEdAn8m1AE+xGHV9lChoBkdAYjPNTtLL6mgHTegDaAhHQJ/KJsk6cRV1fZQoaAZHQF2XAuZkTYdoB03oA2gIR0CfzO8+iaiLdX2UKGgGR0BlIflEJBw/aAdN6ANoCEdAn8+qJVKf4HV9lChoBkdAYF1cqOLiuWgHTegDaAhHQJ/c41AJLM91fZQoaAZHQGBDmgSOBDpoB03oA2gIR0Cf6PKhL5ARdX2UKGgGR0BlhHyPMjeLaAdN6ANoCEdAn+2piuuA7XV9lChoBkdAYdf/z8P4EmgHTegDaAhHQJ/t9BF/hEV1fZQoaAZHQGDFqwhW5pdoB03oA2gIR0Cf77NxVAAydX2UKGgGR0Bi1xAMUh3aaAdN6ANoCEdAn/CtaEBbOnV9lChoBkdAY4H1wo9cKWgHTegDaAhHQJ/7HrJKaod1fZQoaAZHQFxTplz2exxoB03oA2gIR0Cf/bUypJf6dX2UKGgGR0BhE2Xw9aEBaAdN6ANoCEdAoAAwdbPhQ3V9lChoBkdAZu956dDpkmgHTegDaAhHQKAAvrvb48F1fZQoaAZHQGNVbh3qzJJoB03oA2gIR0CgEaWsJY1YdX2UKGgGR0BmC5UcXFcZaAdN6ANoCEdAoBTfyLAHmnV9lChoBkdAYaEkRjBl+WgHTegDaAhHQKAWQgU1yeZ1fZQoaAZHQGKb/3N9ph5oB03oA2gIR0CgFneoDPnkdX2UKGgGR0BiAIbjtG/faAdN6ANoCEdAoBe26Ae7tnV9lChoBkdAYLN0J4SpSGgHTegDaAhHQKAY576YVqN1fZQoaAZHQGBNFuFYdQxoB03oA2gIR0CgHYNJe3QVdX2UKGgGR0BioWb9ZRsNaAdN6ANoCEdAoCD42dd3S3V9lChoBkdAZdtke6qbSmgHTegDaAhHQKAiv4M4LkV1fZQoaAZHQGYnfjjrAxloB03oA2gIR0CgIurfk3judX2UKGgGR0BkVN5prULEaAdN6ANoCEdAoCPEOTaCc3V9lChoBkdAX97xnWattGgHTegDaAhHQKAkNwqAjIJ1fZQoaAZHQGZp3gDRtxdoB03oA2gIR0CgKWliz9jxdX2UKGgGR0BoE2jua4MGaAdN6ANoCEdAoCsN/Ue+23V9lChoBkdAYVENvwVj7WgHTegDaAhHQKAs9MewLVp1fZQoaAZHQGQqvIn0CihoB03oA2gIR0CgLdTnzQNTdX2UKGgGR0Av0a+evpyIaAdNEQFoCEdAoD0EJ2MbWHV9lChoBkdAYRvHQQcxTWgHTegDaAhHQKA9fqoIfKZ1fZQoaAZHQGLYLaVUuL9oB03oA2gIR0CgQAsJIDoydX2UKGgGR0BYgqcEvCdjaAdN6ANoCEdAoEFOSOinHnV9lChoBkdAYdR8O09hZ2gHTegDaAhHQKBBf34bjtJ1fZQoaAZHQGVkcsMAmzBoB03oA2gIR0CgQr47aIvbdX2UKGgGR0Blyd05lvqDaAdN6ANoCEdAoEPp5VwPy3V9lChoBkdAYP1n13+uNmgHTegDaAhHQKBKRIRRMvh1fZQoaAZHQF4wKf4AS39oB03oA2gIR0CgT43u/k/9dX2UKGgGR0Bj446S1Vo6aAdN6ANoCEdAoFFvUaya/nV9lChoBkdAZOLid8RcvGgHTegDaAhHQKBRkr0aqCJ1fZQoaAZHQGT6+dbxEv1oB03oA2gIR0CgUnmXPZ7HdX2UKGgGR0BkgyCUX531aAdN6ANoCEdAoFLz4zrNW3V9lChoBkdAYkQl9BrvcGgHTegDaAhHQKBZtpudf9h1fZQoaAZHQGF0c/lhgE5oB03oA2gIR0CgWxVO9FnadX2UKGgGR0Bhi0qe9SMtaAdN6ANoCEdAoFusHUtqYnV9lChoBkdAY5+J3xFy72gHTegDaAhHQKBr9pJwsGx1fZQoaAZHQGZos2WIGhVoB03oA2gIR0CgbGatT1kEdX2UKGgGR0BbUp00WM0haAdN6ANoCEdAoG7dJOFg2XV9lChoBkdAZeGIvalDW2gHTegDaAhHQKBwKDCgsbx1fZQoaAZHQGbcLIPsiStoB03oA2gIR0CgcFeXZ5AydX2UKGgGR0Bf8Io/iYLLaAdN6ANoCEdAoHF8Rvm5lXV9lChoBkdAYcvl6JIlMWgHTegDaAhHQKBylU6xPft1fZQoaAZHQEq6M1CPZIxoB00uAWgIR0CgdWiMPz4DdX2UKGgGR0Bjg0iGFi8WaAdN6ANoCEdAoHdlejVQRHV9lChoBkdAYnJCKJl8PWgHTegDaAhHQKB6r0hePaN1fZQoaAZHQGJd1BdD6WRoB03oA2gIR0CgfHUPH1e0dX2UKGgGR0BednJ9y926aAdN6ANoCEdAoHyaOearm3V9lChoBkdAY7FOpKjBVWgHTegDaAhHQKB9ckTpPh11fZQoaAZHQGQx/29L6DZoB03oA2gIR0CgfffK6nR+dX2UKGgGR0Bmqjc6/7BPaAdN6ANoCEdAoIb0fzSThnV9lChoBkdAYvbwG4ZuRGgHTegDaAhHQKCJQOAiFCd1fZQoaAZHQGBjQAlv60poB03oA2gIR0Cgifw79ycTdX2UKGgGR0BjttfCyhSMaAdN6ANoCEdAoJk/EGZ/kXV9lChoBkdAYmX1loUSI2gHTegDaAhHQKCcEyNXHR11fZQoaAZHQGGTzBRAKOVoB03oA2gIR0CgnZqveP7vdX2UKGgGR0Bkr7IzWPLgaAdN6ANoCEdAoJ3mK4x1xXV9lChoBkdAWenCUHIIW2gHTegDaAhHQKCfoEOAiFF1fZQoaAZHQGMczDfm9xpoB03oA2gIR0CgoUCLEUCadX2UKGgGR0BguhyOq//OaAdN6ANoCEdAoKUpBNVR13V9lChoBkdAXqjTBqKxcGgHTegDaAhHQKCneFINEw51fZQoaAZHQF8rslb/wRZoB03oA2gIR0CgqoiCrcTKdX2UKGgGR0BocitozvZzaAdN6ANoCEdAoKwC8e0XxnV9lChoBkdAYuxdadMCcWgHTegDaAhHQKCsIYCQtBh1fZQoaAZHQF7SdC3PRiRoB03oA2gIR0CgrNgpjMFEdX2UKGgGR0Bb/dcnmaH9aAdN6ANoCEdAoK0+43FUAHV9lChoBkdAYu0yuZCv5mgHTegDaAhHQKCzIWoFV1h1fZQoaAZHQGRiudPLxI9oB03oA2gIR0CgtG7GNrCWdX2UKGgGR0BjdDJU5uIiaAdN6ANoCEdAoLT/nQpnYnVlLg=="
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 248,
    "observation_space": {
        ":type:": "<class 'gymnasium.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "bounded_below": "[ True  True  True  True  True  True  True  True]",
        "bounded_above": "[ True  True  True  True  True  True  True  True]",
        "_shape": [
            8
        ],
        "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]",
        "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]",
        "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]",
        "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
        ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
        "n": "4",
        "start": "0",
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 16,
    "n_steps": 1024,
    "gamma": 0.999,
    "gae_lambda": 0.98,
    "ent_coef": 0.01,
    "vf_coef": 0.5,
    "max_grad_norm": 0.5,
    "batch_size": 64,
    "n_epochs": 4,
    "clip_range": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    }
}