{
    "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 0x7fb68ecd2dc0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb68ecd2e50>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb68ecd2ee0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb68ecd2f70>",
        "_build": "<function ActorCriticPolicy._build at 0x7fb68ec56040>",
        "forward": "<function ActorCriticPolicy.forward at 0x7fb68ec560d0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb68ec56160>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb68ec561f0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7fb68ec56280>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb68ec56310>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb68ec563a0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb68ec56430>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7fb68ecd1420>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu",
        "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": 1676130030604151381,
    "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": 252,
    "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
}