A distributed learning control system for elevator groups

被引：0

作者：

Walczak, Tomasz

Cichosz, Pawel

机构：

[1] Polish Acad Sci, Inst Fundamental Technol Res, PL-00049 Warsaw, Poland

[2] Warsaw Univ Technol, Dept Elect & Informat Technol, PL-00665 Warsaw, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2006, PROCEEDINGS | 2006年 / 4029卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Human-designed elevator control policies usually perform sufficiently well, but are costly to obtain and do not easily adapt to changing traffic patterns. This paper describes an adaptive distributed elevator control system based on reinforcement learning. Whereas inspired by prior work, the design of the system is novel, developed with the intention to avoid any unrealistic assumptions that would limit its practical usefulness. Encouraging experimental results are presented with a realistic simulator of an elevator group.

引用

页码：1223 / 1232

页数：10

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