Solving risk-sensitive POMDPs with and without cost observations

Partially Observable Markov Decision Processes (POMDPs) are often used to model planning problems under uncertainty. The goal in Risk-Sensitive POMDPs (RS-POMDPs) is to find a policy that maximizes the probability that the cumulative cost is within some user-defined cost threshold. In this paper, un...

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Bibliographic Details
Main Authors: HOU, Ping, YEOH, William, Pradeep VARAKANTHAM
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/3605
https://ink.library.smu.edu.sg/context/sis_research/article/4606/viewcontent/RSPOMDP.pdf
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Institution: Singapore Management University
Language: English