4 citations · 5 across the 4 of their papers we have counts for
4 papers
An adaptive discretization algorithm for locally optimal experimental design with constraints
Jochen Schmid, Philipp Seufert, Jan Schwientek +2
We develop a novel iterative algorithm for locally optimal experimental design under constraints, like budget or performance constraints. It is an adaptive discretization algorithm…
An Adaptive Three-Stage Algorithm For Solving Adjustable Min-Max-Regret Problems
Kerstin Schneider, Helene Krieg, Dimitri Nowak +1
This work uniquely combines an affine linear decision rule known from adjustable robustness with min-max-regret robustness. By doing so, the advantages of both concepts can be obta…
Hidden Symmetries and Model Reduction in Markov Decision Processes: Explained and Applied to the Multi-period Newsvendor Problem
Tobias Joosten, Karl-Heinz Küfer
Symmetry breaking is a common approach for model reduction of Markov decision processes (MDPs). This approach only uses directly accessible symmetries such as geometric symmetries.…
A Ray Tracing Technique for the Navigation on a Non-convex Pareto Front
Dimitri Nowak, Karl-Heinz Küfer
A new interactive approach to navigate on approximations of in general non-convex but connected Pareto fronts is introduced. Given a finite number of precalculated representative P…