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math.OC2024
A Max-Min-Max Algorithm for Large-Scale Robust Optimization
Kai Tu, Zhi Chen, Man-Chung Yue
Robust optimization (RO) is a powerful paradigm for decision making under uncertainty. Existing algorithms for solving RO, including the reformulation approach and the cutting-plan…
math.OC2024
An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes
Huikang Liu, Wolfram Wiesemann, Man-Chung Yue
Factored Markov decision processes (MDPs) are a prominent paradigm within the artificial intelligence community for modeling and solving large-scale MDPs whose rewards and dynamics…