{
    "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 0x7f49f06e9940>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f49f06e99d0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f49f06e9a60>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f49f06e9af0>",
        "_build": "<function ActorCriticPolicy._build at 0x7f49f06e9b80>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f49f06e9c10>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f49f06e9ca0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f49f06e9d30>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f49f06e9dc0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f49f06e9e50>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f49f06e9ee0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f49f06e9f70>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7f49f06e3a20>"
    },
    "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": 1673623117227300818,
    "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:": "gAWVdhAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIm3PwTOjMY0CUhpRSlIwBbJRN6AOMAXSUR0CXH9t8NQTFdX2UKGgGaAloD0MIMLyS5LkOHUCUhpRSlGgVTSsBaBZHQJchVcophF51fZQoaAZoCWgPQwgTukvirJFaQJSGlFKUaBVN6ANoFkdAlyUe4G2TgXV9lChoBmgJaA9DCBQF+kSehWFAlIaUUpRoFU3oA2gWR0CXJZNmlImPdX2UKGgGaAloD0MIMZqV7UPmYECUhpRSlGgVTegDaBZHQJco9WeYlY51fZQoaAZoCWgPQwj7srRTc8NjQJSGlFKUaBVN6ANoFkdAlykDfBN21XV9lChoBmgJaA9DCBWOIJViY2hAlIaUUpRoFU3oA2gWR0CXKiKwIMScdX2UKGgGaAloD0MINNjUedRaY0CUhpRSlGgVTegDaBZHQJcxuFdszl91fZQoaAZoCWgPQwhYAFMGDgNkQJSGlFKUaBVN6ANoFkdAl0eEtyxRmHV9lChoBmgJaA9DCCp0XmOXNGBAlIaUUpRoFU3oA2gWR0CXSBFfiPyTdX2UKGgGaAloD0MIOGbZk8AGRECUhpRSlGgVS/loFkdAl0hR//echHV9lChoBmgJaA9DCERq2sW04WNAlIaUUpRoFU3oA2gWR0CXSa04R28qdX2UKGgGaAloD0MITDeJQWBRYkCUhpRSlGgVTegDaBZHQJdNgdmxt551fZQoaAZoCWgPQwgxmSoYFcpkQJSGlFKUaBVN6ANoFkdAl02N2TxG2HV9lChoBmgJaA9DCAXeyafH6WNAlIaUUpRoFU3oA2gWR0CXWtiRW912dX2UKGgGaAloD0MIoKUr2EZVZkCUhpRSlGgVTegDaBZHQJdg46T4cm11fZQoaAZoCWgPQwjpnJ/iOHdbQJSGlFKUaBVN6ANoFkdAl2XxNucc2nV9lChoBmgJaA9DCHJsPUM45ldAlIaUUpRoFU3oA2gWR0CXbMfTCtRvdX2UKGgGaAloD0MI+IpuvSa8YUCUhpRSlGgVTegDaBZHQJduY2vStvJ1fZQoaAZoCWgPQwi62/XSlDhiQJSGlFKUaBVN6ANoFkdAl3JW4RVZLnV9lChoBmgJaA9DCKzJU1bTCWRAlIaUUpRoFU3oA2gWR0CXctnWrfcfdX2UKGgGaAloD0MIgsR29wAdZkCUhpRSlGgVTegDaBZHQJd2PZElVtJ1fZQoaAZoCWgPQwiLiGLyBq5hQJSGlFKUaBVN6ANoFkdAl3eHvUjLS3V9lChoBmgJaA9DCMaIRKFl/QrAlIaUUpRoFUvtaBZHQJd5rQOWjXZ1fZQoaAZoCWgPQwh6NUBpqM1gQJSGlFKUaBVN6ANoFkdAl39GMfigkHV9lChoBmgJaA9DCGnGouls7WNAlIaUUpRoFU3oA2gWR0CXlRbExZdOdX2UKGgGaAloD0MIUcHhBZH2YUCUhpRSlGgVTegDaBZHQJeVovL5h0B1fZQoaAZoCWgPQwilEMglDm5hQJSGlFKUaBVN6ANoFkdAl5XiwKSgXnV9lChoBmgJaA9DCKJESx5PHzdAlIaUUpRoFUv8aBZHQJeWFMYdhiN1fZQoaAZoCWgPQwiTHRuB+NNgQJSGlFKUaBVN6ANoFkdAl5cOX/o7m3V9lChoBmgJaA9DCOi+nNmuY2JAlIaUUpRoFU3oA2gWR0CXmlGnn+yadX2UKGgGaAloD0MIx7ji4qhcY0CUhpRSlGgVTegDaBZHQJeaXtfG+9J1fZQoaAZoCWgPQwgr2hznNuEmQJSGlFKUaBVL9mgWR0CXncxY7q6fdX2UKGgGaAloD0MI/aNv0jSVUECUhpRSlGgVS91oFkdAl596FM7EHnV9lChoBmgJaA9DCCy3tBqS1WZAlIaUUpRoFU3oA2gWR0CXpYl/6O5sdX2UKGgGaAloD0MIdQZGXtZUFECUhpRSlGgVS+BoFkdAl6W4/RmbsnV9lChoBmgJaA9DCN9sc2N69mFAlIaUUpRoFU3oA2gWR0CXqtTRYzSDdX2UKGgGaAloD0MIZRu4A3XCYUCUhpRSlGgVTegDaBZHQJevgCZF5Od1fZQoaAZoCWgPQwgOhc/WwRNlQJSGlFKUaBVN6ANoFkdAl7g2f5DZ13V9lChoBmgJaA9DCK2FWWhn/mZAlIaUUpRoFU3oA2gWR0CXvL3IuGsWdX2UKGgGaAloD0MIn6ut2F/xXkCUhpRSlGgVTegDaBZHQJe9U+7lJYl1fZQoaAZoCWgPQwjIe9XKBAJiQJSGlFKUaBVN6ANoFkdAl8KEWVNYbXV9lChoBmgJaA9DCCcW+Irut2RAlIaUUpRoFU3oA2gWR0CXxORwZOzqdX2UKGgGaAloD0MIOdTvwtbwQECUhpRSlGgVS+poFkdAl8pf0ulGgHV9lChoBmgJaA9DCJz51RwgAFBAlIaUUpRoFUv9aBZHQJfK6GHpKSR1fZQoaAZoCWgPQwiCPLt8az1iQJSGlFKUaBVN6ANoFkdAl86Qpe/pMnV9lChoBmgJaA9DCJkMx/MZD15AlIaUUpRoFU3oA2gWR0CXztM5wOvudX2UKGgGaAloD0MIFK+ytinsX0CUhpRSlGgVTegDaBZHQJfhXR/mT1V1fZQoaAZoCWgPQwhIT5FDxOtlQJSGlFKUaBVN6ANoFkdAl+J6VhTfi3V9lChoBmgJaA9DCIZyol0Fh2NAlIaUUpRoFU3oA2gWR0CX5d+PRzBAdX2UKGgGaAloD0MI7WZGPxr6X0CUhpRSlGgVTegDaBZHQJfpyuX/o7p1fZQoaAZoCWgPQwiokCv1LHxgQJSGlFKUaBVN6ANoFkdAl+ugpz90inV9lChoBmgJaA9DCLneNlMhQjFAlIaUUpRoFUvxaBZHQJfu1iYsunN1fZQoaAZoCWgPQwiXHeIfto9eQJSGlFKUaBVN6ANoFkdAl/G2NipeeHV9lChoBmgJaA9DCC8WhshpRWhAlIaUUpRoFU3oA2gWR0CX8d9If8uSdX2UKGgGaAloD0MI2nIuxdWKZ0CUhpRSlGgVTegDaBZHQJf2bMNc4YJ1fZQoaAZoCWgPQwiqnsw/+lBQQJSGlFKUaBVNKAFoFkdAl/nuLFXJYHV9lChoBmgJaA9DCEsjZvZ5WmRAlIaUUpRoFU3oA2gWR0CX+oICU5dXdX2UKGgGaAloD0MIwJSBA9ptYUCUhpRSlGgVTegDaBZHQJgB58WsRxt1fZQoaAZoCWgPQwjU0twKYXBgQJSGlFKUaBVN6ANoFkdAmA3P/BFd9nV9lChoBmgJaA9DCDKqDONu6mFAlIaUUpRoFU3oA2gWR0CYEaRISUTtdX2UKGgGaAloD0MI9Kj4vyNKW0CUhpRSlGgVTegDaBZHQJga4IJJGvx1fZQoaAZoCWgPQwjGGFjH8R9kQJSGlFKUaBVN6ANoFkdAmBuE3n6l+HV9lChoBmgJaA9DCFtfJLTlY2FAlIaUUpRoFU3oA2gWR0CYH3hFEy+IdX2UKGgGaAloD0MIdeRIZ2DNZUCUhpRSlGgVTegDaBZHQJgfwdeY2Kl1fZQoaAZoCWgPQwhsk4rG2jxiQJSGlFKUaBVN6ANoFkdAmB/4dELH/HV9lChoBmgJaA9DCODaiZIQTGVAlIaUUpRoFU3oA2gWR0CYNxDqGDcudX2UKGgGaAloD0MI5nXEIRsjWUCUhpRSlGgVTegDaBZHQJg8xHuqm0p1fZQoaAZoCWgPQwiy8WCL3edkQJSGlFKUaBVN6ANoFkdAmEAAIldC3XV9lChoBmgJaA9DCLyUumQctVpAlIaUUpRoFU3oA2gWR0CYQryFfzBidX2UKGgGaAloD0MImtL6W4IPZ0CUhpRSlGgVTegDaBZHQJhC5kc0cfh1fZQoaAZoCWgPQwhPIy2Vt/VZQJSGlFKUaBVN6ANoFkdAmEeAfuCwr3V9lChoBmgJaA9DCIaQ8/4/TWJAlIaUUpRoFU3oA2gWR0CYSxFI/Z/TdX2UKGgGaAloD0MIOiLfpVS3YECUhpRSlGgVTegDaBZHQJhLnT4L1Ep1fZQoaAZoCWgPQwg2k2+2udpdQJSGlFKUaBVN6ANoFkdAmFK9F4LThHV9lChoBmgJaA9DCIhJuJBHfkLAlIaUUpRoFUvzaBZHQJhU5Pdl/Yt1fZQoaAZoCWgPQwgkDtlAOv9hQJSGlFKUaBVN6ANoFkdAmFxrsF+uvHV9lChoBmgJaA9DCBtl/WZiCmVAlIaUUpRoFU3oA2gWR0CYXvA2ycCpdX2UKGgGaAloD0MIHVvPEI4AYkCUhpRSlGgVTegDaBZHQJhk1I9TxXp1fZQoaAZoCWgPQwipaoKoe5BgQJSGlFKUaBVN6ANoFkdAmGVj7hvR7nV9lChoBmgJaA9DCBRbQdMSk15AlIaUUpRoFU3oA2gWR0CYaTRQaaTfdX2UKGgGaAloD0MIHHi13BlmZkCUhpRSlGgVTegDaBZHQJhpekXUH6d1fZQoaAZoCWgPQwjMKmwGOMFiQJSGlFKUaBVN6ANoFkdAmGmx86V+qnV9lChoBmgJaA9DCP8iaMykaGNAlIaUUpRoFU3oA2gWR0CYgSa/RE4OdX2UKGgGaAloD0MITUusjEZsY0CUhpRSlGgVTegDaBZHQJiHqZ3LV4J1fZQoaAZoCWgPQwg+zF62nb9uQJSGlFKUaBVNXgJoFkdAmIgzLGJemnV9lChoBmgJaA9DCL9jeOznF2VAlIaUUpRoFU3oA2gWR0CYiy+8XenAdX2UKGgGaAloD0MIe4MvTKYmZUCUhpRSlGgVTegDaBZHQJiN6P7vXsh1fZQoaAZoCWgPQwh6Oey+45ZiQJSGlFKUaBVN6ANoFkdAmI4RigCfYnV9lChoBmgJaA9DCHgI46dx1mFAlIaUUpRoFU3oA2gWR0CYletIkJKKdX2UKGgGaAloD0MIQrPr3gq6ZUCUhpRSlGgVTegDaBZHQJiWdmapgkV1fZQoaAZoCWgPQwgUlnhA2dT/P5SGlFKUaBVL6WgWR0CYl49wm3OOdX2UKGgGaAloD0MID+85sJzuYkCUhpRSlGgVTegDaBZHQJifdcmjTKF1fZQoaAZoCWgPQwi13JkJBvliQJSGlFKUaBVN6ANoFkdAmKdt34bjtHV9lChoBmgJaA9DCM8xIHs9YWFAlIaUUpRoFU3oA2gWR0CYqhvsqrimdX2UKGgGaAloD0MIL9/6sN4YYECUhpRSlGgVTegDaBZHQJiwErOJLuh1fZQoaAZoCWgPQwijdyrgnixjQJSGlFKUaBVN6ANoFkdAmLCkJKJ2uHV9lChoBmgJaA9DCPPixFe7jGVAlIaUUpRoFU3oA2gWR0CYtEPMjeKsdX2UKGgGaAloD0MIhUIEHML1Y0CUhpRSlGgVTegDaBZHQJi0iHIp6Qh1fZQoaAZoCWgPQwhZMPFH0bdiQJSGlFKUaBVN6ANoFkdAmLS7yc0+DHVlLg=="
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 248,
    "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
}