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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.11 No.4
- 발행연도
- 2011.12
- 수록면
- 267 - 274 (8page)
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초록· 키워드
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Recently, actor-critic methods have drawn significant interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy. In this paper, we consider a new type of actor-critic algorithms employing the kernel methods, which have recently shown to be very effective tools in the various fields of machine learning, and have performed investigations on combining the actor-critic strategy together with kernel methods. More specifically, this paper studies actor-critic algorithms utilizing the kernel-based least-squares estimation and policy gradient, and in its critic’s part, the study uses a sliding-window-based kernel least-squares method, which leads to a fast and efficient value-function-estimation in a nonparametric setting. The applicability of the considered algorithms is illustrated via a robot locomotion problem and a tunnel ventilation control problem.
목차
Abstract
1. Introduction
2. Methods using kernel-based least-squares estimation and policy gradient
3. Applications
4. Concluding remarks
5. Acknowledgment
References
참고문헌 (17)
참고문헌 신청
1. [학술지(정기간행물)] - A. G. Barto / 1983 / Neuronlike elements that can solve difficult learning control problems / IEEE Transactions on Systems Man and Cybernetics 13 : 835 ~ 846
2. [학술지(정기간행물)] - H. R. Berenji / 2003 / A convergent actor-criticbased FRL algorithm with application to power management of wireless transmitters / IEEE Tranactions on Fuzzy Systems 11 : 478 ~ 485
3. [학술대회논문] - H. Kimura / 1998 / An analysis of actor/critic algorithms using eligibility traces: Reinforcement learning with imperfect value function / Proceedings of the Fifteenth International Conference on Machine Learning : 111 ~ 116
4. [학술지(정기간행물)] - J.Park / 2005 / An RLS-based natural actorcritic algorithm for locomotion of a two-linked robot arm / Lecture Notes in Artificial Intelligence 3801 : 65 ~ 72
5. [학술대회논문] - J.Peters / 2003 / Reinforcement learning for humanoid robotics / Proceedings of the Third IEEE-RAS International Conference on Humanoid Robots(Humanoids2003)
2. [학술지(정기간행물)] - H. R. Berenji / 2003 / A convergent actor-criticbased FRL algorithm with application to power management of wireless transmitters / IEEE Tranactions on Fuzzy Systems 11 : 478 ~ 485
3. [학술대회논문] - H. Kimura / 1998 / An analysis of actor/critic algorithms using eligibility traces: Reinforcement learning with imperfect value function / Proceedings of the Fifteenth International Conference on Machine Learning : 111 ~ 116
4. [학술지(정기간행물)] - J.Park / 2005 / An RLS-based natural actorcritic algorithm for locomotion of a two-linked robot arm / Lecture Notes in Artificial Intelligence 3801 : 65 ~ 72
5. [학술대회논문] - J.Peters / 2003 / Reinforcement learning for humanoid robotics / Proceedings of the Third IEEE-RAS International Conference on Humanoid Robots(Humanoids2003)
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UCI(KEPA) : I410-ECN-0101-2013-028-001376413