{
    "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 0x7f545f1121f0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f545f112280>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f545f112310>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f545f1123a0>",
        "_build": "<function ActorCriticPolicy._build at 0x7f545f112430>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f545f1124c0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f545f112550>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f545f1125e0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f545f112670>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f545f112700>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f545f112790>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f545f111b00>"
    },
    "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": 524288,
    "_total_timesteps": 500000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1651745918.9802494,
    "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": -0.04857599999999995,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 160,
    "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
}