Conference proceedings
Bou, A., Bettini, M., Dittert, S., Kumar, V., Sodhani, S., Yang, X., De Fabritiis, G. and Moens, V., 2024. TORCHRL: A DATA-DRIVEN DECISION-MAKING LIBRARY FOR PYTORCH 12th International Conference on Learning Representations Iclr 2024,
Bettini, M., Kortvelesy, R. and Prorok, A., 2024. Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning Proceedings of Machine Learning Research, v. 235
Bettini, M., Shankar, A. and Prorok, A., 2023. Heterogeneous Multi-Robot Reinforcement Learning Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, v. 2023-May
Morad, S., Kortvelesy, R., Bettini, M., Liwicki, S. and Prorok, A., 2023. POPGYM: BENCHMARKING PARTIALLY OBSERVABLE REINFORCEMENT LEARNING 11th International Conference on Learning Representations Iclr 2023,
Book chapters
Journal articles
Bettini, M., Kortvelesy, R., Blumenkamp, J. and Prorok, A., 2022. VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
Bettini, M. and Prorok, A., 2022. On the properties of path additions for traffic routing
Bettini, M. and Prorok, A., On the Properties of Path Additions for Traffic Routing
