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.
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)