{
    "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 0x7f532d58a8c0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f532d58a950>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f532d58a9e0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f532d58aa70>",
        "_build": "<function ActorCriticPolicy._build at 0x7f532d58ab00>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f532d58ab90>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f532d58ac20>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f532d58acb0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f532d58ad40>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f532d58add0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f532d58ae60>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7f532d5e7060>"
    },
    "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": 1659737253.8117752,
    "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": 248,
    "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
}