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JACIII Vol.16 No.3 pp. 397-403
doi: 10.20965/jaciii.2012.p0397
(2012)

Paper:

Substitute Target Learning Based Control System for Control Knowledge Acquisition Within Constrained Environment

Syafiq Fauzi Kamarulzaman, Takeshi Shibuya, and Seiji Yasunobu

Department of Intelligent Interaction Technologies, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

Received:
September 30, 2011
Accepted:
December 6, 2011
Published:
May 20, 2012
Keywords:
reinforcement learning, inverted pendulum, substitute target
Abstract

Real-time operations are usually conducted within a constrained environment. A human requires constantly updated knowledge to respond flexibly under different constraints to configure a control method around the constraints. In this research, a control system based on substitute target learning is proposed to enable control operations to configure their own control method around the constraints. This control system is applied to an inverted pendulum control system and its effectiveness is confirmed through a series of simulations and an experiment using a real machine.

Cite this article as:
Syafiq Fauzi Kamarulzaman, Takeshi Shibuya, and Seiji Yasunobu, “Substitute Target Learning Based Control System for Control Knowledge Acquisition Within Constrained Environment,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.3, pp. 397-403, 2012.
Data files:
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