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math.OC2026
Optimal strategies in Markov decision processes with finitely additive evaluations
János Flesch, Arkadi Predtetchinski, William D Sudderth +1
We study infinite-horizon Markov decision processes (MDPs) where the decision maker evaluates each of her strategies by aggregating the infinite stream of expected stage-rewards. T…
cs.GT2026
Dynamic Wholesale Pricing under Censored-Demand Learning
Michalis Deligiannis, Marco Scarsini, Xavier Venel
This paper studies dynamic wholesale pricing and ordering in a two-tier supply chain where firms share POS data and learn about demand from censored demand data. When stockouts occ…