On March 18, Dr. Nicole Orzan successfully defended her PhD thesis titled “Cooperation Under Uncertain Incentive Alignment – A Multi-Agent Reinforcement Learning Perspective.”

Her thesis introduces the Extended Public Goods Game (EPGG) to study how cooperation emerges under varying and uncertain incentive alignment. Using decentralized multi-agent reinforcement learning, it explores how factors such as communication, behavioural mechanisms, and risk preferences influence cooperative behaviour. The findings offer insights into how agent-specific factors shape cooperation, including how risk-seeking agents tend to cooperate more, especially under uncertainty.

We congratulate Nicole on this achievement and everybody who contributed to her research.

Read more here.