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Author:White, C.
Eldeib, H.
Title:Markov decision processes with imprecise transition probabilities
Journal:Operations Research
1994 : JUL-AUG, VOL. 42:4, p. 739-749
Index terms:MARKOV CHAINS
DYNAMIC PROGRAMMING
OPTIMAL CONTROL THEORY
Language:eng
Abstract:The authors present numerical algorithms and bounds for the infinite horizon, discrete stage, finite state and action Markov decision process with imprecise decision probabilities. The authors assume that the transition probability mass vector for each state and action is described by a finite number of linear inequalities. This model of impresision appears to be well suited for describing statistically determined confidence limits and/or natural language statements of likelihood.
SCIMA record nr: 119042
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