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.