To Fish or Cut Bait?

被引：0
|
作者：
Diao, Jiahao [1 ]
Nazarathy, Yoni [1 ]
Taimre, Thomas [1 ]
Filar, Jerzy A. [1 ]
机构：
[1] Univ Queensland, Sch Math & Phys, Brisbane, Qld, Australia
来源：
2017 11TH ASIAN CONTROL CONFERENCE (ASCC) | 2017年
关键词：
Partially observable Markov decision process; Optimal natural resource management; ADMISSION CONTROL; INCOMPLETE INFORMATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We consider a simple model where an underlying environment alternates between a "good" and a "bad" state and is only observable when tapped. Considering this as a fishing resource management problem, optimizing fishing actions in the case of a small scale fisher (who does not affect the environment) requires balancing the rewards obtained and information gained from fishing. We consider policies of the form "back off if fish are not biting" and characterize the optimal "back off time" through a probabilistic regenerative analysis.
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页码：2473 / 2477
页数：5
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