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@inproceedings{1366476,
author = {Brázdil, Tomáš and Novotný, Petr and Chatterjee, Krishnendu and Chmelík, Martin and Gupta, Anchit},
address = {Singapur},
booktitle = {Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems},
keywords = {POMDP; planning; energy constraints; decision trees},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Singapur},
isbn = {978-1-4503-4239-1},
pages = {1465-1466},
publisher = {ACM},
title = {Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract)},
year = {2016}
}
TY - JOUR
ID - 1366476
AU - Brázdil, Tomáš - Novotný, Petr - Chatterjee, Krishnendu - Chmelík, Martin - Gupta, Anchit
PY - 2016
TI - Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract)
PB - ACM
CY - Singapur
SN - 9781450342391
KW - POMDP
KW - planning
KW - energy constraints
KW - decision trees
N2 - 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.
ER -
BRÁZDIL, Tomáš, Petr NOVOTNÝ, Krishnendu CHATTERJEE, Martin CHMELÍK and Anchit GUPTA. Stochastic Shortest Path with Energy Constraints in POMDPs: (Extended Abstract). In \textit{Proceedings of the 2016 International Conference on Autonomous Agents \&{} Multiagent Systems}. Singapur: ACM. p.~1465-1466. ISBN~978-1-4503-4239-1. 2016.
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