摘要
机器人为实现在复杂环境下的探索任务,必须具有自主学习其行为策略的能力。本文将Q-学习与基于案例的学习结合,实现机器人在复杂环境下的自学习能力。
Robot must have the ability of independent study and behavioral strategy for implementing its task of exploring in complicated environment. This paper realizes that robot learning ability independently based on combining case study and Q-study in complicated environment.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第z3期1982-1983,共2页
Chinese Journal of Scientific Instrument
关键词
强化学习
Q-学习
案例学习
reinforcement learning Q-learning case based learning
