{
    "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 0x7f34e9a90430>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f34e9a904c0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f34e9a90550>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f34e9a905e0>",
        "_build": "<function ActorCriticPolicy._build at 0x7f34e9a90670>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f34e9a90700>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f34e9a90790>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f34e9a90820>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f34e9a908b0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f34e9a90940>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f34e9a909d0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f34e9a90a60>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f34e9a91900>"
    },
    "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": 6029312,
    "_total_timesteps": 6000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1679918589547292110,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "gAWV0QIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMTy9ob21lL21pa2kvLmxvY2FsL2xpYi9weXRob24zLjkvc2l0ZS1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuCQwIAAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjE8vaG9tZS9taWtpLy5sb2NhbC9saWIvcHl0aG9uMy45L3NpdGUtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
    },
    "_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": -0.004885333333333408,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 5056,
    "n_steps": 2048,
    "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": 8,
    "clip_range": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null
}