{
    "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 0x7ff080d16c10>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff080d16ca0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff080d16d30>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff080d16dc0>",
        "_build": "<function ActorCriticPolicy._build at 0x7ff080d16e50>",
        "forward": "<function ActorCriticPolicy.forward at 0x7ff080d16ee0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff080d16f70>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff080d1a040>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7ff080d1a0d0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff080d1a160>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff080d1a1f0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff080d1a280>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7ff080d127b0>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1681203256740055000,
    "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,
    "_stats_window_size": 100,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 248,
    "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,
    "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
}