{
    "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 0x7ff4e4270820>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff4e42708b0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff4e4270940>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff4e42709d0>",
        "_build": "<function ActorCriticPolicy._build at 0x7ff4e4270a60>",
        "forward": "<function ActorCriticPolicy.forward at 0x7ff4e4270af0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff4e4270b80>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff4e4270c10>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7ff4e4270ca0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff4e4270d30>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff4e4270dc0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff4e4270e50>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7ff4e426ea00>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1689039562582848816,
    "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:": "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"
    },
    "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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"
    }
}