{
    "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 0x7f695c6f5160>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f695c6f51f0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f695c6f5280>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f695c6f5310>",
        "_build": "<function ActorCriticPolicy._build at 0x7f695c6f53a0>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f695c6f5430>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f695c6f54c0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f695c6f5550>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f695c6f55e0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f695c6f5670>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f695c6f5700>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f695c6f3a80>"
    },
    "verbose": 0,
    "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:": "gAWViAAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
        "n": 4,
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 16,
    "num_timesteps": 10010624,
    "_total_timesteps": 10000000.0,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1671023773861668087,
    "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": -0.0010623999999999079,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 2444,
    "n_steps": 1024,
    "gamma": 0.999,
    "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
}