{
    "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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7f45a9ae0b80>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f45a9ae0c10>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f45a9ae0ca0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f45a9ae0d30>",
        "_build": "<function ActorCriticPolicy._build at 0x7f45a9ae0dc0>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f45a9ae0e50>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f45a9ae0ee0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f45a9ae0f70>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f45a9a63040>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f45a9a630d0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f45a9a63160>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f45a9a631f0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7f45a9ae11b0>"
    },
    "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": 1675934660173326749,
    "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
}