Themes

The research activities of our lab focusses on the theoretical foundations of artificial intelligence and its applications.

Current areas of interest include:

• Theory and applications of machine learning/reinforcement learning;
• Generative AI (foundational models/large language models and their applications);
• Multi-agent reinforcement learning systems;
• Cooperation and coordination in multi-agent systems (cooperative AI);
• AI and game theory;
• Moral decision-making in AI systems;
• Graph neural networks and applications of machine learning to networks;
• Causal reinforcement learning;
• Human-AI interaction;
• AI safety;
• Machine intelligence for mobile, IoT and cyber-physical systems;
• Machine intelligence for distributed and networked systems;
• Machine intelligence for security&privacy.

Last updated: 4 November 2023.