Learning Adaptive Control of a UUV Using a Bio-Inspired Experience Replay Mechanism

Deep Reinforcement Learning (DRL) methods are increasingly being applied in Unmanned Underwater Vehicles (UUV) providing adaptive control responses to environmental disturbances. However, in physical platforms, these methods are hindered by their inherent data inefficiency and performance degradatio...

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Autors principals:	Thomas Chaffre, Paulo E. Santos, Gilles Le Chenadec, Estelle Chauveau, Karl Sammut, Benoit Clement
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Deep reinforcement learning machine learning adaptive control underwater robotics
Accés en línia:	https://ieeexplore.ieee.org/document/10304148/
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