Raluca Gaina

Raluca Gaina is a Lecturer in Games and AI at the School of Electronic Engineering and Computer Science, Queen Mary University of London. Her work focuses on advancing artificial intelligence in gaming contexts, particularly in multi-agent systems, reinforcement learning, and strategic game frameworks. She leads research initiatives such as the TAG and PyTAG frameworks, which explore AI-driven solutions for complex board games and tabletop environments.

Her research interests include game AI, evolutionary algorithms, and machine learning applications in game design. Notable projects include developing frameworks for analyzing player behavior through temporal logics and clustering techniques, as well as benchmarking large language models in game development contexts.

Gaina’s recent work emphasizes synergistic interactions in games, cooperative strategies in complex board games, and data-driven analysis of board game ecosystems. Her contributions bridge theoretical AI advancements with practical implementations in competitive and cooperative game scenarios.

She maintains an active research profile with publications spanning game competitions (e.g., Pandemic, Terraforming Mars) and frameworks like MARLO for multi-agent reinforcement learning. Her research often addresses challenges in sparse reward environments and adaptive decision-making under uncertainty.