Regret based Robust Solutions for Uncertain Markov Decision Processes

In this paper, we seek robust policies for uncertain Markov Decision Processes (MDPs). Most robust optimization approaches for these problems have focussed on the computation of maximin policies which maximize the value corresponding to the worst realization of the uncertainty. Recent work has propo...

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Bibliographic Details
Main Authors: AHMED, Asrar, VARAKANTHAM, Pradeep Reddy, Adulyasak, Yossiri, Jaillet, Patrick
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/1932
https://ink.library.smu.edu.sg/context/sis_research/article/2931/viewcontent/RRMDP_finalversion.pdf
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Institution: Singapore Management University
Language: English