Optimizing expectation with guarantees in POMDPs

A standard objective in partially-observable Markov decision processes (POMDPs) is to find a policy that maximizes the expected discounted-sum payoff. However, such policies may still permit unlikely but highly undesirable outcomes, which is problematic especially in safety-critical applications. Re...

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Bibliographic Details
Main Authors: CHATTERJEE, Krishnendu, PEREZ, Guillermo A., RASKIN, Jean-François, ZIKELIC, Dorde
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
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Online Access:https://ink.library.smu.edu.sg/sis_research/9071
https://ink.library.smu.edu.sg/context/sis_research/article/10074/viewcontent/11046_13_14574_1_2_20201228.pdf
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Institution: Singapore Management University
Language: English
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