{
    "policy_class": {
        ":type:": "<class 'abc.ABCMeta'>",
        ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=",
        "__module__": "stable_baselines3.dqn.policies",
        "__doc__": "\n    Policy class with Q-Value Net and target net for DQN\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 features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\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 DQNPolicy.__init__ at 0x7f5fbbccc4c0>",
        "_build": "<function DQNPolicy._build at 0x7f5fbbccc550>",
        "make_q_net": "<function DQNPolicy.make_q_net at 0x7f5fbbccc5e0>",
        "forward": "<function DQNPolicy.forward at 0x7f5fbbccc670>",
        "_predict": "<function DQNPolicy._predict at 0x7f5fbbccc700>",
        "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f5fbbccc790>",
        "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f5fbbccc820>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f5fbbccbd00>"
    },
    "verbose": 1,
    "policy_kwargs": {
        "net_arch": [
            256,
            256
        ]
    },
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            4
        ],
        "low": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]",
        "high": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]",
        "bounded_below": "[ True  True  True  True]",
        "bounded_above": "[ True  True  True  True]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.discrete.Discrete'>",
        ":serialized:": "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",
        "n": 2,
        "_shape": [],
        "dtype": "int64",
        "_np_random": "RandomState(MT19937)"
    },
    "n_envs": 1,
    "num_timesteps": 50176,
    "_total_timesteps": 50000,
    "_num_timesteps_at_start": 0,
    "seed": 0,
    "action_noise": null,
    "start_time": 1670941540865863249,
    "learning_rate": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "tensorboard_log": "runs/CartPole-v1__dqn__2594091663__1670941538/CartPole-v1",
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "_last_obs": null,
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAAGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVhQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAE4WRL5vF7i+5xdfvDtOJDyUjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwFLBIaUjAFDlHSUUpQu"
    },
    "_episode_num": 471,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": -0.0035199999999999676,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 24704,
    "buffer_size": 1,
    "batch_size": 64,
    "learning_starts": 1000,
    "tau": 1.0,
    "gamma": 0.99,
    "gradient_steps": 128,
    "optimize_memory_usage": false,
    "replay_buffer_class": {
        ":type:": "<class 'abc.ABCMeta'>",
        ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==",
        "__module__": "stable_baselines3.common.buffers",
        "__doc__": "\n    Replay buffer used in off-policy algorithms like SAC/TD3.\n\n    :param buffer_size: Max number of element in the buffer\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param device: PyTorch device\n    :param n_envs: Number of parallel environments\n    :param optimize_memory_usage: Enable a memory efficient variant\n        of the replay buffer which reduces by almost a factor two the memory used,\n        at a cost of more complexity.\n        See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n        and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\n        Cannot be used in combination with handle_timeout_termination.\n    :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n        separately and treat the task as infinite horizon task.\n        https://github.com/DLR-RM/stable-baselines3/issues/284\n    ",
        "__init__": "<function ReplayBuffer.__init__ at 0x7f5fbbd2b430>",
        "add": "<function ReplayBuffer.add at 0x7f5fbbd2b4c0>",
        "sample": "<function ReplayBuffer.sample at 0x7f5fbbd2b550>",
        "_get_samples": "<function ReplayBuffer._get_samples at 0x7f5fbbd2b5e0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f5fbbd22680>"
    },
    "replay_buffer_kwargs": {},
    "train_freq": {
        ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
        ":serialized:": "gAWVYgAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RNAAFoAIwSVHJhaW5GcmVxdWVuY3lVbml0lJOUjARzdGVwlIWUUpSGlIGULg=="
    },
    "actor": null,
    "use_sde_at_warmup": false,
    "exploration_initial_eps": 1.0,
    "exploration_final_eps": 0.04,
    "exploration_fraction": 0.16,
    "target_update_interval": 10,
    "_n_calls": 50176,
    "max_grad_norm": 10,
    "exploration_rate": 0.04,
    "exploration_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "batch_norm_stats": [],
    "batch_norm_stats_target": []
}