LIProMa: Label-Independent Process Matching. - Florian Richter 001; Ludwig Zellner; Imen Azaiz; David Winkel; Thomas Seidl 001 (Business Process Management Workshops, 2019)

Reinforcement Learning for Multi-Agent Stochastic Resource Collection. - Niklas Strauß; David Winkel; Max Berrendorf; Matthias Schubert (ECML/PKDD (4), 2022)

Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. - David Winkel; Niklas Strauß; Matthias Schubert; Thomas Seidl 001 (ECML/PKDD (6), 2022)

Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. - David Winkel; Niklas Strauß; Matthias Schubert; Thomas Seidl 001 (ECAI, 2023)

Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. - David Winkel; Niklas Strauß; Matthias Schubert; Yunpu Ma; Thomas Seidl 001 (PAKDD (2), 2023)

Autoregressive Policy Optimization for Constrained Allocation Tasks. - David Winkel; Niklas Strauß; Maximilian Bernhard; Zongyue Li; Thomas Seidl 001; Matthias Schubert (NeurIPS, 2024)