Publications

David W Zhang, Corrado Rainone, Markus Peschl, Roberto Bondesan (2023). Robust Scheduling with GFlowNets. International Conference on Learning Representations (ICLR). 2023..

Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan (2022). Learning Perturbations for Soft-Output Linear MIMO Demappers. GLOBECOM 2022-2022 IEEE Global Communications Conference.

Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano C. Siebert (2022). MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. AAMAS ‘22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems.