{
    "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 0x7faf7a3075e0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7faf7a307670>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7faf7a307700>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7faf7a307790>",
        "_build": "<function ActorCriticPolicy._build at 0x7faf7a307820>",
        "forward": "<function ActorCriticPolicy.forward at 0x7faf7a3078b0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7faf7a307940>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7faf7a3079d0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7faf7a307a60>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7faf7a307af0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7faf7a307b80>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7faf7a2fee40>"
    },
    "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": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1670440877176334599,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "_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,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 310,
    "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
}