Manuel Eberhardinger

According to our database, Manuel Eberhardinger authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating the Impact of Data Anonymization on Image Retrieval.

Marvin Chen, Manuel Eberhardinger, Johannes Maucher

CoRR, February, 2026

2025

Anonymization of Documents for Law Enforcement with Machine Learning.

Manuel Eberhardinger, Patrick Takenaka, Daniel Grießhaber, Johannes Maucher

CoRR, January, 2025

Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models.

Valentin Schmidberger, Manuel Eberhardinger, Setareh Maghsudi, Johannes Maucher

Proceedings of the International Conference on Machine Learning and Applications, 2025

Towards Cognitive-Plausible Explanations for Board Game Agents with Genetic Programming.

Manuel Eberhardinger, Florian Rupp, Florian Richoux, Johannes Maucher, Setareh Maghsudi

Proceedings of the Joint AIIDE Workshops on Experimental AI in Games and Intelligent Narrative Technologies (EXAG-INT 2025) co-located with the 21st AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2025), 2025

Tone - an Interactive Music Learning Experience.

Willi Schorrig, Manuel Danze, Manuel Eberhardinger, Sabiha Ghellal

Proceedings of the IEEE Conference on Games, 2025

2024

Simulation-Driven Balancing of Competitive Game Levels With Reinforcement Learning.

Florian Rupp, Manuel Eberhardinger, Kai Eckert

IEEE Trans. Games, December, 2024

From Code to Play: Benchmarking Program Search for Games Using Large Language Models.

Manuel Eberhardinger, James Goodman, Alexander Dockhorn, Diego Perez Liebana, Raluca D. Gaina, Duygu Çakmak, Setareh Maghsudi, Simon M. Lucas

CoRR, 2024

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming.

Manuel Eberhardinger, Florian Rupp, Johannes Maucher, Setareh Maghsudi

Proceedings of the Advances in Swarm Intelligence, 2024

Classification of Inkjet Printers based on Droplet Statistics.

Patrick Takenaka, Manuel Eberhardinger, Daniel Grießhaber, Johannes Maucher

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Towards Explainable Decision Making with Neural Program Synthesis and Library Learning.

Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Balancing of competitive two-player Game Levels with Reinforcement Learning.

Florian Rupp, Manuel Eberhardinger, Kai Eckert

Proceedings of the IEEE Conference on Games, 2023

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments.

Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022

Human-Game AI Interaction (Dagstuhl Seminar 22251).

Dan Ashlock, Setareh Maghsudi, Diego Perez Liebana, Pieter Spronck, Manuel Eberhardinger

Dagstuhl Reports, 2022

Imitation Learning of Logical Program Policies for Multi-Agent Reinforcement Learning.

Manuel Eberhardinger, Johannes Maucher, Setareh Maghsudi

Proceedings of the Joint Proceedings of Workshops, 2022