{
    "policy_class": {
        ":type:": "<class 'abc.ABCMeta'>",
        ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=",
        "__module__": "stable_baselines3.td3.policies",
        "__doc__": "\n    Policy class (with both actor and critic) for TD3.\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    :param n_critics: Number of critic networks to create.\n    :param share_features_extractor: Whether to share or not the features extractor\n        between the actor and the critic (this saves computation time)\n    ",
        "__init__": "<function TD3Policy.__init__ at 0x7f7e83af0af0>",
        "_build": "<function TD3Policy._build at 0x7f7e83af0b80>",
        "_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x7f7e83af0c10>",
        "make_actor": "<function TD3Policy.make_actor at 0x7f7e83af0ca0>",
        "make_critic": "<function TD3Policy.make_critic at 0x7f7e83af0d30>",
        "forward": "<function TD3Policy.forward at 0x7f7e83af0dc0>",
        "_predict": "<function TD3Policy._predict at 0x7f7e83af0e50>",
        "set_training_mode": "<function TD3Policy.set_training_mode at 0x7f7e83af0ee0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f7e83af3980>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float64",
        "_shape": [
            11
        ],
        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]",
        "high": "[inf inf inf inf inf inf inf inf inf inf inf]",
        "bounded_below": "[False False False False False False False False False False False]",
        "bounded_above": "[False False False False False False False False False False False]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "gAWVGAwAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLA4WUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWDAAAAAAAAAAAAIC/AACAvwAAgL+UaApLA4WUjAFDlHSUUpSMBGhpZ2iUaBIolgwAAAAAAAAAAACAPwAAgD8AAIA/lGgKSwOFlGgVdJRSlIwNYm91bmRlZF9iZWxvd5RoEiiWAwAAAAAAAAABAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLA4WUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYDAAAAAAAAAAEBAZRoIUsDhZRoFXSUUpSMCl9ucF9yYW5kb22UjBRudW1weS5yYW5kb20uX3BpY2tsZZSMEl9fcmFuZG9tc3RhdGVfY3RvcpSTlIwHTVQxOTkzN5RoLYwUX19iaXRfZ2VuZXJhdG9yX2N0b3KUk5SGlFKUfZQojA1iaXRfZ2VuZXJhdG9ylIwHTVQxOTkzN5SMBXN0YXRllH2UKIwDa2V5lGgSKJbACQAAAAAAAAAAAIBTwrOchwO1k3Lsq1vo5rLyz7aB2tUG72GhMU2ga7XM2RPmGJ90nHkvyKUbgMR5AUmeD0PkXeAYk5ITVczUSilk0giVvjTQnkRyegPwrb8Kc5t7PulgsQbadQNFC2591hZq6wQ0ZoO38/WlL2nvQmNDtVz3wndSzEZENy0IiW7Qjq53+xi2gE97nvlPMuwS2LmOXoWpGcquPXYtZytCgJ7F7scf9SIBXUvPJA/MGVJkRFeYcJ0K9RIXtela3jvE/0HPOrFftofdM9hYiaqizX97P8mUt2wPQx8xmX0bYJCrtwcdGUzeyPuOugD1z6ka3iX+IAalFvzQduPBTvXKQ9MBWnnfUFetzaqYhTrP0WHhMA/Ht9nWRUX4vUiuWi77gKSTLtizn2cHsqRyJMj43mOVvrbJtm3T5laAgDosou93H+ZNC0HiTVqmVP8Lsv3/JsoIWfaq43/tiUiTGgfVTTF1psbquA6tH5Icya9TC+0oH7X0htvTuZKBVDKM0C+fIAM8l/emTHKVm2ft/85WlYRpZ+XoFwvDLSCusSBQr4f7w/xdYy4GCKdeDDOfezLj5k6WvjminpO26pfQqfP9LJIYOUEgrwmoo5vMHp8a36i8kcQzwqUvi94rCQuS64xYFp7HcUF1aySvLmqGyXEyCeTa2GHwNpeYB9u4jyPRKocxbWSV4hOL16R9fH95KLmFfUaMD8zrZmLG5rLUfzMf1WOxNFwZpzInS+HWE1F4MWg2xcVst8upoi9ssNCNjtPbz1ley6m8DG7YZVNupay35yQ8/PAfu8uKRQsL7B4ArDFquqb66ABeDLPvviZ4c6y9Bi67Xye+uu6eNlYO/Boq5iiETBR9Kemi0T1eFf33JRNzywY9CJ1N9eTOb+3wxY/yK3iXhVISAMufwZby3YMCHwTAVr8o4ahkQaNipnYgwDvQT4XYuqBpmVAsUw41MjHfK43kXZ7UxPi/bB0FEr1H6UYynEiI2V3I7DDEsMFNEMyF3sA+J2YPBAGe9oh5woVr3lu3AeREERRPmD778jQMODrzkRfg4w7Zi1M+ozc9CW5Lim4SEBBFW6Q0ZKHiBgOBwE8pmXhOE1/4b4TsSX1+ZYlw/f1KJ/Doyf4YSKwzVGEdjTldkdS/lbivyQPaNIsxj4ggvb4u1CtbuK3vLbz6wSJwugR9g6TL1kkXqXR9H6xcRrB/5EQf0u+1EnjLN/GvsqKw2mvVrG/Vp7kINdL5dPO44b8Emce+3xqudjVdYf1J2QI56iTowjwYEK2NMLEnklukjknSLQDrqYlpFb0sx8/oKKXf9xVFD243YpO1XejusnBjhcKePsMmaqtTCh8MOXsSTQ+g3vDQeHxgc7LyqE/DtXwAt2Nmft5i2MJAiV1C8dszUjvdG0ItC9AYUxdQInTbakZGpO9lfldZKLOpuBfpMmYjosMX3Bylh5qUHtwPB6V+p2nMdGbKNFshf1v7Di6P/9oNGA/ZKCI4Cr8P/3/RJuAr8TQVDJyWE1UCRsrBeEDEoZzOm8mjDSYUVQC3/l9PkoCyZBMC3ynQWysYwNN+ThHNmCplKb6KFVFLfvVPHe3CkYDWCij8Ah8mHyyUkLeGRHU4YI3ssA8YLBsz2seUpJTi66EmJ9/X3qH2rWQ8yV3r3z0x8otWS8KXuh8JG6s9Rbjpx4koT3nWxAPW/xwrQcrUma4FMJcB6UJQIgU0saTe0xc1Wa64UXejfFvhXhPUgBgh8F3IRUeEghk4T8kRjv11pDDyeNgS1DpjBnqQ0IFh+uOrY6CUhNxF3AOYg0vjaujoedtaAtlDwJ78SI9UG1YfCG8ZQcrUU043NHNeBPXMoSD5YCKB64rhBUjF0hMzhi9TJi+lAm4l37EYPWejsFggpd1XhoOWxGdZIyZL7NPJO8LT5OAEwI2ky90KGNoH9dOsxWybS+A+YJizCfTrsxNhZ+bmgKqqY1yKqhF8UvY7abEVPVUxwoOvEcF0FSFIblSYB6vHzooATK1uwJufo46PxjTZXBXKfNd3RYl8uKh4YxkhIzV6d5Z9NzWZDoKl0PEmpSZTzr8qwEvcFvRLY0CoXKwUlkrEPAt6PzHP7EfwjEQfOWSKI0f7YgirTrrcUDCLrCDp2ByvIOpD6U0PCfz3yfKWtxhKGKAOu2sUE17MrHdmOmQ8Kc9R5AHiElStgJQnLkLLK0L/HVSwHIp7P9pI0RaeVafNh0l/Y+govRh+ZpHcqlfOL1rHcEc+CTVx2aB1WSp68UnQNR1MEVCP+aFoqpxpPSsokuDL/XUCFZbidfv6QB2BHRvWICx4jRNswO2iEG6qpRl+ox9Qqx0jy/Zp5R3T4io6M8EV7tNlELs5RiZ/vz1JFOnD2Cy3i3PHu0tqnwmcW3aR4qGp3e8GCqm+WzG/HQNw8L5uj+oiV0qICfkPtM+N5YvMnWCamTWZUo7JY6/9nOVFN97zISwyxFyB0/Fs67EuOU7CjW4WH02Meg7P/FucjrYjj1nNPn0ZQI20AvvhSqOVGjJdnkQsSOFOf4Xl9h8SRjZOdKyAo7hbBv/EPjVLiYEvstxTIXvrJtXtjHQvpXZAahJ/KEcWoxAmz+Fos89bXyZYlv9QOX3Rk31MTNx1e9myYJ6rMJqALpgMend+in7mcBBKdP8HK3aPvP7pyeX9pmHqgqznGsQya7OksVtc1Wh/2E2ZfkTQNDYzy4Gqp5b3mnrPzJKc7FREA7byhhaxtXJ5ho2VYtms60gxkNGONt5xJLAwuWsGHDiZlWG3gOA5DEjX4/uw8dksx/z1T7ly1/WsPSvUBeDJePM7Eq8LFYyGvPoCHX37NqX9sAinD7RXs+rzk9FA7hR5JyYzA4NHyNw58gu4yajvFeF6Zj8mq06dySURoZqkx4aWSJ5+9CTH0vkRa8ufqy0jjNE/illfH2I7PXsgomYo5UeAIgA6KF5vRvCSM2Qi2V9g7cvN4ss+4EM0sWDu1C7k09bLbxricGwT+CzIS15G8XYQJgUg4mDTp3NzvshbDuj7PVDkA/EuD26/IWeJhY24nKTut+UsKZhyDWA3rnsJZ9/xh8+vS6Qo5qZyj3hfWcV3KujEeJCVFdo/3UM6oy54jWkJqzJFC3SO1tbDF0RXLM/cbNRlcFaprTFcLPB7b1zGDZqLAq64ABV9oIT8+3VwlerzC+WIXzWwwM8xujB3367Ja4TGr977ZbfBZ5XeFWh+iITJKMGsk9ZUlb375ShwlsLSmk3Dma0eS2RmpSTqRW1SBVDgKPi52P9uW5nNypaMi84Ik7nYz7FxBjzTwSLxP+XDBL1OC67NDd7QpHuGm2A1xfX9eEK8C5RoB4wCdTSUiYiHlFKUKEsDaAtOTk5K/////0r/////SwB0lGJNcAKFlGgVdJRSlIwDcG9zlE1wAnWMCWhhc19nYXVzc5RLAIwFZ2F1c3OURwAAAAAAAAAAdWJ1Yi4=",
        "dtype": "float32",
        "_shape": [
            3
        ],
        "low": "[-1. -1. -1.]",
        "high": "[1. 1. 1.]",
        "bounded_below": "[ True  True  True]",
        "bounded_above": "[ True  True  True]",
        "_np_random": "RandomState(MT19937)"
    },
    "n_envs": 1,
    "num_timesteps": 1000000,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": 0,
    "action_noise": {
        ":type:": "<class 'stable_baselines3.common.noise.NormalActionNoise'>",
        ":serialized:": "gAWVCgEAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5ub2lzZZSMEU5vcm1hbEFjdGlvbk5vaXNllJOUKYGUfZQojANfbXWUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwOFlIwBQ5R0lFKUjAZfc2lnbWGUaAgolhgAAAAAAAAAmpmZmZmZuT+amZmZmZm5P5qZmZmZmbk/lGgPSwOFlGgTdJRSlHViLg==",
        "_mu": "[0. 0. 0.]",
        "_sigma": "[0.1 0.1 0.1]"
    },
    "start_time": 1676725685613692899,
    "learning_rate": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "tensorboard_log": "runs/Hopper-v3__td3__4253675530__1676725683/Hopper-v3",
    "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:": "gAWVzQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJZYAAAAAAAAAGkbQ3TY2PU/j0GiCjaAor/z+vJwJY/Tv/dHmD+F4oO/XoC2Orlo6T+cDC+8IcECQLavrJTXMwHAWOR9gSK/1T+7KTqNn7LqPy53v3RLPNs/pdzOa/W+z7+UjAVudW1weZSMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwFLC4aUjAFDlHSUUpQu"
    },
    "_episode_num": 2702,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": 0.0,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 990000,
    "buffer_size": 1,
    "batch_size": 256,
    "learning_starts": 10000,
    "tau": 0.005,
    "gamma": 0.99,
    "gradient_steps": 1,
    "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 0x7f7e83aee5e0>",
        "add": "<function ReplayBuffer.add at 0x7f7e83aee670>",
        "sample": "<function ReplayBuffer.sample at 0x7f7e83aee700>",
        "_get_samples": "<function ReplayBuffer._get_samples at 0x7f7e83aee790>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f7e83ae6840>"
    },
    "replay_buffer_kwargs": {},
    "train_freq": {
        ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
        ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"
    },
    "use_sde_at_warmup": false,
    "policy_delay": 2,
    "target_noise_clip": 0.5,
    "target_policy_noise": 0.2,
    "actor_batch_norm_stats": [],
    "critic_batch_norm_stats": [],
    "actor_batch_norm_stats_target": [],
    "critic_batch_norm_stats_target": []
}