{
    "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 0x7fa96f2f12d0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa96f2f1360>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa96f2f13f0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa96f2f1480>",
        "_build": "<function ActorCriticPolicy._build at 0x7fa96f2f1510>",
        "forward": "<function ActorCriticPolicy.forward at 0x7fa96f2f15a0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fa96f2f1630>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa96f2f16c0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7fa96f2f1750>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa96f2f17e0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa96f2f1870>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa96f2f1900>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7fa96f51f780>"
    },
    "verbose": true,
    "policy_kwargs": {},
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "gAWVswEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCoWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlGgKSwqFlIwBQ5R0lFKUjARoaWdolGgSKJYoAAAAAAAAAADo/UjbD0lAAADIQgAAyEIAAMhCAADIQgAAyEIAAMhCAADIQgAAyEKUaApLCoWUaBV0lFKUjA1ib3VuZGVkX2JlbG93lGgSKJYKAAAAAAAAAAEBAQEBAQEBAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCoWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYKAAAAAAAAAAEBAQEBAQEBAQGUaCFLCoWUaBV0lFKUjApfbnBfcmFuZG9tlE51Yi4=",
        "dtype": "float32",
        "_shape": [
            10
        ],
        "low": "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]",
        "high": "[5.2000000e+05 3.1415927e+00 1.0000000e+02 1.0000000e+02 1.0000000e+02\n 1.0000000e+02 1.0000000e+02 1.0000000e+02 1.0000000e+02 1.0000000e+02]",
        "bounded_below": "[ True  True  True  True  True  True  True  True  True  True]",
        "bounded_above": "[ True  True  True  True  True  True  True  True  True  True]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.discrete.Discrete'>",
        ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
        "n": 4,
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 4,
    "num_timesteps": 106496,
    "_total_timesteps": 100000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1681854602905755734,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "_last_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVFQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJagAAAAAAAAAO8+RkOK1RE8JmCMQgAAyEIAAMhCJGpmQtNUp0IAAMhCAADIQiXdnEJQ9RhDNol4P8t5LUIAAMhCAADIQgAAyEIAAMhC5LJZQqZux0G0lcpByENTQxBDFL8IBJVCTqujQgAAyEI6yaNCK/SUQgAAyEIAAMhC85+zQgkzakMukJW+AADIQgAAyEIAAMhCZOurQj1SOkK8aMZCAADIQgAAyEKUjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwRLCoaUjAFDlHSUUpQu"
    },
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": null,
    "_episode_num": 0,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": -0.0649599999999999,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 130,
    "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
}