{
    "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 0x7f468d95db40>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f468d95dbd0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f468d95dc60>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f468d95dcf0>",
        "_build": "<function ActorCriticPolicy._build at 0x7f468d95dd80>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f468d95de10>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f468d95dea0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f468d95df30>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f468d95dfc0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f468d95e050>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f468d95e0e0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f468d95e170>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f462ca4cb80>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1000448,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1684855966434687964,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "_last_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAEDTwD1OpNQ+JW7aPaeRV748aSM8njGXOwAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
    },
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": null,
    "_episode_num": 0,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": -0.00044800000000000395,
    "_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": 3908,
    "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": 1,
    "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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"
    }
}