{
    "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 0x7816d9daf6d0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7816d9daf760>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7816d9daf7f0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7816d9daf880>",
        "_build": "<function ActorCriticPolicy._build at 0x7816d9daf910>",
        "forward": "<function ActorCriticPolicy.forward at 0x7816d9daf9a0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7816d9dafa30>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7816d9dafac0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7816d9dafb50>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7816d9dafbe0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7816d9dafc70>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7816d9dafd00>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7816d9d4a3c0>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1725199925800321939,
    "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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
        "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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"
    }
}