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 and reinforcement learning;
• Novel learning architectures;
• Graph neural networks and applications of machine learning to networks;
• Causal reinforcement learning;
• Multi-agent reinforcement learning systems;
• Cooperation and coordination in multi-agent systems (cooperative AI);
• AI and game theory;
• Moral decision-making in AI systems;
• Human-AI interaction;
• Generative artificial intelligence;
• Applications of reinforcement learning to distributed systems design;
• Applications of machine intelligence to mobile, IoT and cyber-physical systems;
• Applications of machine intelligence in the area of security&privacy.

Last updated: 16 April 2023.