Towards Transfer Learning for Revenue and Pricing Management. - Alexander Kastius; Rainer Schlosser (OR, 2021)

Stochastic Dynamic Pricing Under Duopoly Competition with Mutual Strategy Adjustments. - Rainer Schlosser; Alexander Kastius (OR, 2021)

SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning. - Jan Kossmann; Alexander Kastius; Rainer Schlosser (EDBT, 2022)

Multi-agent Dynamic Pricing Using Reinforcement Learning and Asymmetric Information. - Alexander Kastius; Nils Kiele; Rainer Schlosser (OR, 2022)

A Conceptual Framework for Studying Self-learning Agents in Recommerce Markets. - Rainer Schlosser; Alexander Kastius (OR, 2022)

Welcome to the Jungle: A Conceptual Comparison of Reinforcement Learning Algorithms. - Kenneth Schröder; Alexander Kastius; Rainer Schlosser (ICORES, 2023)

Reinforcement Learning Algorithms: Categorization and Structural Properties. - Kenneth Schröder; Alexander Kastius; Rainer Schlosser (ICORES (Selected Papers), 2023)

Self-learning Agents for Recommerce Markets. - Jan Groeneveld; Judith Herrmann; Nikkel Mollenhauer; Leonard Dreeßen; Nick Bessin; Johann Schulze Tast; Alexander Kastius; Johannes Huegle; Rainer Schlosser (Bus. Inf. Syst. Eng., 2024)