한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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- Pages.496-499
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- 2003
The Application of RL and SVMs to Decide Action of Mobile Robot
- Ko, Kwang-won (Department of control and Instrumentation Engineering, Korea University) ;
- Oh, Yong-sul (Department of control and Instrumentation Engineering, Korea University) ;
- Jung, Qeun-yong (Department of control and Instrumentation Engineering, Korea University) ;
- Hoon Heo (Department of control and Instrumentation Engineering, Korea University)
- 발행 : 2003.09.01
초록
Support Vector Machines (SVMs) is applied to a practical problem as one of standard tools for machine learning. The application of Reinforcement Learning (RL) and SVMs in action of mobile robot is investigated. A technique to decide the action of autonomous mobile robot in practice is explained in the paper, The proposed method is to find n basis for good action of the system under unknown environment. In multi-dimensional sensor input, the most reasonable action can be automatically decided in each state by RL. Using SVMs, not only optimal decision policy but also generalized state in unknown environment is obtained.