Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract)

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00088501" target="_blank" >RIV/00216224:14330/16:00088501 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract)
Original language description
We extend the traditional framework of POMDPs to model resource consumption inducing a hard constraint on the behaviour of the model. Resource levels increase and decrease with transitions, and the hard constraint requires that the level remains positive in all steps. We present an algorithm for solving POMDPs with resource levels, developing on existing POMDP solvers. Our second contribution is related to policy representation. For larger POMDPs the policies computed by existing solvers are too large to be understandable, an issue particularly pronounced in POMDPs with resource levels. We present a procedure based on machine learning techniques that extracts important decisions of a policy and outputs its readable representation.
Czech name
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Czech description
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Project
<a href="/en/project/GBP202%2F12%2FG061" target="_blank" >GBP202/12/G061: Center of excellence - Institute for theoretical computer science (CE-ITI)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
ISBN
9781450342391
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1465-1466
Publisher name
ACM
Place of publication
Singapur
Event location
Singapur
Event date
Jan 1, 2016
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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