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ECAI
2010
Springer
13 years 8 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng
MANSCI
2010
92views more  MANSCI 2010»
13 years 5 months ago
A Quantitative Measurement of Regret Theory
This paper introduces a choice-based method that for the first time makes it possible to quantitatively measure regret theory, one of the most popular models of decision under unc...
Han Bleichrodt, Alessandra Cillo, Enrico Diecidue
CORR
2010
Springer
105views Education» more  CORR 2010»
13 years 6 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
SCP
2008
86views more  SCP 2008»
13 years 7 months ago
Quantifying the yield of risk-bearing IT-portfolios
We proposed a method to quantify the yield of an IT-investment portfolio in an environment of uncertainty and risk. For various common implementation scenarios such as growing dem...
R. J. Peters, Chris Verhoef
ASC
2004
13 years 7 months ago
Evaluation of services using a fuzzy analytic hierarchy process
This paper proposes a new approach for tackling the uncertainty and imprecision of the service evaluation process. Identifying suitable service offers, evaluating the offers and c...
Ludmil Mikhailov, Petco E. Tsvetinov