{
    "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 0x7ff0106505e0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff010650670>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff010650700>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff010650790>",
        "_build": "<function ActorCriticPolicy._build at 0x7ff010650820>",
        "forward": "<function ActorCriticPolicy.forward at 0x7ff0106508b0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff010650940>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff0106509d0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7ff010650a60>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff010650af0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff010650b80>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff010650c10>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7ff010652780>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1681066097266332249,
    "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:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOS9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null
}