Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
نویسندگان
چکیده
منابع مشابه
Reinforcement Learning for a Visually-guided Autonomous Underwater Vehicle
Reinforcement learning uses a scalar reward signal and much interaction with the environment to form a policy of correct behavior. We have applied this technique to the problem of developing a controller for an autonomous underwater vehicle and have achieved reliable off-line development of stable controllers. Many important underwater tasks rely upon on visual observation of underwater feature...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2970433