The Incremental Pruning Filters for POMDPs - Past Present Future的封面
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The Incremental Pruning Filters for POMDPs - Past Present Future

A Recursive Point Filter Algorithm for the Incremental Pruning

LAP LAMBERT Academic Publishing (2012-10-27 )

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ISBN-13:

978-3-659-28835-7

ISBN-10:
3659288357
EAN:
9783659288357
书籍语言:
英文
作品简介:
Decision making is one of the central problems in the artificial intelligence and specifically in robotics. In most cases this problem comes with uncertainty both in the data received by the decision maker/agent and in the actions performed in the environment. One effective method to solve this problem is to model the environment and the agent as a Partially Observable Markov Decision Process(POMDP). A POMDP has a wide range of applications such as: Machine Vision, Marketing, Network troubleshooting, Medical diagnosis etc. In recent years, There has been a significant interest in the developing techniques for finding policies for (POMDPs). We consider a new technique, called Recursive Point Filter (RPF) based on the Incremental Pruning(IP) POMDP solver to introduce an alternative method to the Linear Programming (LP) filter.
出版社 :
LAP LAMBERT Academic Publishing
网址:
https://www.lap-publishing.com/
由(作者):
Mahdi Naser-Moghadasi
页码 :
68
发表日期:
2012-10-27
现货:
备有现货
类别:
概率论,推断统计学,数理统计
价格:
49.00 €
关键词:
POMDP, MDP, Decision Making Under Uncertainity

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