,:

Yusheng Jiao1, Feng Ling1, Sina Heydari2

  • 1University of Southern California Viterbi School of Engineering, 920 Downey Way, Los Angeles, California, 90089-0111, United States.

PubMed
概括

深度强化学习 (RL) 可以为水生动物和水下机器人创建传感运动策略. 本教程介绍了RL对体内代理,重点关注生物灵感机器人设计和理解动物行为的演员批判方法.