期刊文献+

强化学习在仿真机器人足球踢球动作中的应用 被引量:1

LEARNING TO KICK:APPLICATION OF REINFORCEMENT LEARNING IN SIMULANT ROBOTIC SOCCER
下载PDF
导出
摘要 机器人足球中的环境复杂性是对强化学习方法的一大挑战。本文介绍了在科大蓝鹰仿真机器人足球队采用的强化学习技术 ,将强化学习方法与启发式搜索策略结合后 。 Robotic Soccer's complexity is a big challenge for today's reinforcement learning (RL) methods. This paper describes the RL techniques adopted by USTC Wight Eagle simulator team. A practical solution to the problem of finding a good kick routine is presented by employing RL method together with heuristic search algorithm.
作者 殷翔 黄展翔
出处 《苏州大学学报(工科版)》 CAS 2002年第4期26-32,共7页 Journal of Soochow University Engineering Science Edition (Bimonthly)
关键词 仿真机器人足球 踢球动作 强化学习 启发式搜索 reinforcement learning heuristic search RoboCup kick routine
  • 相关文献

参考文献4

  • 1[1]Martin Riedmiller, Artur Merke, David Meier, Andreas Hoffmann, Alex Sinner, Ortwin Thate, Ralf Ehrmann. Karlsruhe Brainstormers - a reinforcement learning approach to robotic soccer. RoboCup-00: Robot Soccer World Cup IV, LNCS, Springer.
  • 2[2]Chen Mao , Ehsan Foroughi, Fredrik Heintz, Huang Zhan-Xiang, Spiros Kapetanakis, Kostas Kostiadis, Johan Kummeneje, Itsuki Noda, Oliver Obst, Patrick Riley, Timo Steffens, Wang Yi, and Yin Xiang, Users Manual-RoboCup Soccer Server - for Soccer Server version 7.07 and later, RoboCup Federation.
  • 3[3]Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore. Reinforcement Learning: A Survey [J]. Journal of Artificial Intelligence Research (JAIR) 1996.
  • 4[4]Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh. Learning to Act using Real-Time Dynamic Programming [J]. Artificial Intelligence, 72:81-138, 1995.

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部