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Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/9433

Title: A Short Note on Combining Multiple Policies in Risk-Sensitive Exponential Average Reward Markov Decision Processes
Authors: Chang, Hyeong Soo
Type: Technical Report
Keywords: Risk-sensitive Markov decision process
policy improvement
Issue Date: 2009
Series/Report no.: TR_2009-14
Abstract: This short note presents a method of combining multiple policies in a given policy set such that the resulting policy improves all policies in the set for risk-sensitive exponential average reward Markov decision processes (MDPs), extending the work of Howard and Matheson for the singleton policy set case. Some applications of the method in solving risk-sensitive MDPs are also discussed.
Description: This work was done while he was a visiting associate professor at ISR, University of Maryland, College Park.
URI: http://hdl.handle.net/1903/9433
Appears in Collections:Institute for Systems Research Technical Reports

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