{
    "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 0x7f35dea00280>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f35dea00310>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f35dea003a0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f35dea00430>",
        "_build": "<function ActorCriticPolicy._build at 0x7f35dea004c0>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f35dea00550>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f35dea005e0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f35dea00670>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f35dea00700>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f35dea00790>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f35dea00820>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7f35de9f7ed0>"
    },
    "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": 1672115357953404518,
    "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
}