{
    "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 0x7fcfe589f010>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fcfe589f0a0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fcfe589f130>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fcfe589f1c0>",
        "_build": "<function ActorCriticPolicy._build at 0x7fcfe589f250>",
        "forward": "<function ActorCriticPolicy.forward at 0x7fcfe589f2e0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fcfe589f370>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fcfe589f400>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7fcfe589f490>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fcfe589f520>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fcfe589f5b0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fcfe589f640>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7fcfe5893fc0>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1686510053094378110,
    "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": 315,
    "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": 2048,
    "gamma": 0.99,
    "gae_lambda": 0.95,
    "ent_coef": 0.0,
    "vf_coef": 0.5,
    "max_grad_norm": 0.5,
    "batch_size": 64,
    "n_epochs": 10,
    "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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"
    }
}