摘要
提出将MaxQ分层增强式学习应用于足球机器人进攻策略学习,提高了强化学习的性能。通过在Robocup中的应用和实验,得出基于MaxQ分层强化学习的效果要优于传统的强化学习方法。
In this paper, MaxQ reinforcement learning is applied in the robot football strategic learning, which has strengthened the performance of the enhanced learning. Through the application and experiment in the Robocup, the effects based on the MaxQ reinforcement learning is superior to the traditional reinforcement learning method.
出处
《微计算机信息》
北大核心
2008年第32期231-233,共3页
Control & Automation
