Imitation Learning of Logical Program Policies for Multi-Agent Reinforcement Learning. - Manuel Eberhardinger; Johannes Maucher; Setareh Maghsudi (KI (Workshops), 2022)

Human-Game AI Interaction (Dagstuhl Seminar 22251). - Dan Ashlock; Setareh Maghsudi; Diego Perez Liebana; Pieter Spronck; Manuel Eberhardinger (Dagstuhl Reports, 2022)

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments. - Manuel Eberhardinger; Johannes Maucher; Setareh Maghsudi (AIIDE, 2023)

Balancing of competitive two-player Game Levels with Reinforcement Learning. - Florian Rupp; Manuel Eberhardinger; Kai Eckert 001 (CoG, 2023)

Towards Explainable Decision Making with Neural Program Synthesis and Library Learning. - Manuel Eberhardinger; Johannes Maucher; Setareh Maghsudi (NeSy, 2023)

Classification of Inkjet Printers based on Droplet Statistics. - Patrick Takenaka; Manuel Eberhardinger; Daniel Grießhaber; Johannes Maucher (IJCNN, 2024)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming. - Manuel Eberhardinger; Florian Rupp; Johannes Maucher; Setareh Maghsudi (ICSI (1), 2024)

From Code to Play: Benchmarking Program Search for Games Using Large Language Models. - Manuel Eberhardinger; James Goodman 004; Alexander Dockhorn; Diego Perez Liebana; Raluca D. Gaina; Duygu Çakmak; Setareh Maghsudi; Simon M. Lucas (CoRR, 2024)

Simulation-Driven Balancing of Competitive Game Levels With Reinforcement Learning. - Florian Rupp; Manuel Eberhardinger; Kai Eckert 001 (IEEE Trans. Games, 2024)

Anonymization of Documents for Law Enforcement with Machine Learning. - Manuel Eberhardinger; Patrick Takenaka; Daniel Grießhaber; Johannes Maucher (CoRR, 2025)