An AUV Target-Tracking Method Combining Imitation Learning and Deep Reinforcement Learning

An AUV Target-Tracking Method Combining Imitation Learning and Deep Reinforcement Learning

This study aims to solve the problem of sparse reward and local convergence when using a reinforcement learning algorithm as the controller of an AUV. Based on the generative adversarial imitation (GAIL) algorithm combined with a multi-agent, a multi-agent GAIL (MAG) algorithm is proposed. The GAIL...

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Detaylı Bibliyografya
Asıl Yazarlar: Yubing Mao, Farong Gao, Qizhong Zhang, Zhangyi Yang
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2022-03-01
Seri Bilgileri:Journal of Marine Science and Engineering
Konular:
imitation learning
deep reinforcement learning
multi-agent
underwater unmanned autonomous robot
target tracking
Online Erişim:https://www.mdpi.com/2077-1312/10/3/383

Internet

https://www.mdpi.com/2077-1312/10/3/383

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