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Path Planning Method With Improved Artificial Potential Field-A Reinforcement Learning Perspective 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 135513-135523
Authors:  Yao QF(么庆丰);  Zheng ZY(郑泽宇);  Qi, Liang;  Yuan, Haitao;  Guo, Xiwang;  Zhao M(赵明);  Liu Z(刘智);  Yang TJ(杨天吉)
Adobe PDF(1998Kb)  |  Favorite  |  View/Download:93/13  |  Submit date:2020/08/22
Path planning  Learning (artificial intelligence)  Gravity  Potential energy  Mobile agents  Real-time systems  Reinforcement learning  neural network  potential field  path planning