{
    "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 sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\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 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 0x7f2005530700>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f2005530790>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f2005530820>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f20055308b0>",
        "_build": "<function ActorCriticPolicy._build at 0x7f2005530940>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f20055309d0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f2005530a60>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f2005530af0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f2005530b80>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f2005530c10>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f2005530ca0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f2005532480>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            8
        ],
        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
        "high": "[inf inf inf inf inf inf inf inf]",
        "bounded_below": "[False False False False False False False False]",
        "bounded_above": "[False False False False False False False False]",
        "_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": 16,
    "num_timesteps": 50003968,
    "_total_timesteps": 50000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1657583711.3025563,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "_last_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAJrYPD6oJuc+AGxevuY4Pb9d1J8+ELWivgAAAAAAAAAAzQQ4PD07ezy5GRi+JJfYva+47r3KBVo/AACAPwAAAABNUZa+4n2OP0shnr7t/yO/1B4Rv7b5iL4AAAAAAAAAAJqOSz2uZ/e4PQlKM1c76S5lvAa8MCjSswAAgD8AAIA/2ov+vdgfjz9s2IO+tjFYv/8FXr5pq5i+AAAAAAAAAADjJYc+2AHFPlUt/L7Bbjm/5SzIPZ4iv74AAAAAAAAAALpwIj7p+lK8KjVqOwpI1Lm9xbe9OEa2ugAAgD8AAIA/QO6JPojSjj8SNpw+/l4Zv2FAIz8d304+AAAAAAAAAADz0ZW9A8kIvB0pXT16Nhw9hl0ZvQjiDb0AAIA/AACAP2bCoDx2V0S85x8Fvjv8HzyLRmS8wx5/PAAAgD8AAIA/mq0DPXaIUrxIl/O9Q9//vHWjd73I03m9AACAPwAAgD9mUBG9aQytP7LceL67Dbm+EN6PvE+REL4AAAAAAAAAAM1X5D1bRLY9ChubvvYrCb9wGbm9inCOvgAAAAAAAAAAJqGBvUj/1brWqtg9ew/PPEP/DLy2C7E9AACAPwAAgD9mQvA8Mt2LP6bsnj1p5F2/rYJdPe7QrDwAAAAAAAAAAFpDNr5lowY/QHyFPQMyRL/KvqO+mDxwPgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
    },
    "_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": -7.935999999997279e-05,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 12208,
    "n_steps": 1024,
    "gamma": 0.992,
    "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
}