I am a postdoctoral researcher at the Artificial Intelligence Lab of the Vrije Universiteit Brussel, working under the supervision of Prof. Ann Nowé.
My research focuses on Multi-Agent Reinforcement Learning (MARL), with a particular interest in the emergence of cooperation in environments where incentives are not fully aligned and in presence of uncertainty.
I am currently involved in the Descartes Project, where we apply AI techniques to support pandemic prevention and mitigation.
Publications
Orzan, N., Cooperation Under Uncertain Incentive Alignment: A Multi-Agent Reinforcement Learning Perspective. (2025). PhD Thesis
Orzan, N., Acar, E., Grossi, D., & Rădulescu, R. (2025). Learning in public goods games: the effects of uncertainty and communication on cooperation. Neural Computing and Applications, 1-34.
Orzan, N., Acar, E., Grossi, D., & Rădulescu, R. (2024). Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. In Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024).
Orzan, N., Acar, E., Grossi, D. and Rădulescu, R. (2024). Learning in Public Goods Games with Non-Linear Utilities: a Multi-Objective Approach. In The Sixteenth Workshop on Adaptive and Learning Agents (ALA 2024) – Best Paper Runner-Up.
Orzan, N., Acar, E., Grossi, D. and Rădulescu, R. (2024). Emergent Cooperation under Uncertain Incentive Alignment. In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS ’24). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1521–1530.
Orzan, N., Acar, E., Grossi, D. and Rădulescu, R. (2023). Emergent Cooperation and Deception in Public Good Games. In 2023 Adaptive and Learning Agents Workshop at AAMAS.
Orzan, N., Leone, C., Mazzolini, A., Oyero, J. and Celani, A. (2023). Optimizing airborne wind energy with reinforcement learning. The European Physical Journal E, 46(1), p.2.
