Consolidated actor-critic model for partially-observable Markov decision processes

被引：0

作者：

Elhanany, I. ^{[1
]}

Niedzwiedz, C. ^{[1
]}

Liu, Z.

Livingston, S. ^{[1
]}

机构：

[1] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA

来源：

ELECTRONICS LETTERS | 2008年 / 44卷 / 22期

关键词：

D O I：

10.1049/el:20081346

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A method for consolidating the traditionally separate actor and critic neural networks in temporal difference learning for addressing partially-observable Markov decision processes (POMDPs) is presented. Simulation results for solving a five-state POMDP problem support the claim that the consolidated model achieves higher performance while reducing computational and storage requirements to approximately half those of the traditional approach.

引用

页码：1317 / U41

页数：2

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