Authors introduce measurized MDPs as a measure-valued lifting of stochastic MDPs that generalizes the original setting and supports new constraints plus approximations via algebraic lifting and semicontinuous-semicompact analysis for average reward.
Puterman, Martin L, 2014,Markov decision processes: discrete stochastic dynamic program- ming(John Wiley & Sons)
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Measurized Markov Decision Processes
Authors introduce measurized MDPs as a measure-valued lifting of stochastic MDPs that generalizes the original setting and supports new constraints plus approximations via algebraic lifting and semicontinuous-semicompact analysis for average reward.