2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
Streamlining Energy Transition Scenarios to Key Policy Decisions
Florian Joseph Baader, Stefano Moret, Wolfram Wiesemann +2
Uncertainties surrounding the energy transition often lead modelers to present large sets of scenarios that are challenging for policymakers to interpret and act upon. An alternati…
Scenario Reduction Revisited: Fundamental Limits and Guarantees
Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn +1
The goal of scenario reduction is to approximate a given discrete distribution with another discrete distribution that has fewer atoms. We distinguish continuous scenario reduction…