Autonomous and Multi-Agent ML Systems

Supervisors with research interests in autonomous and multi-agent ML systems are listed below.

Alessandro Suglia

Lecturer in Embodied Natural Language Processing

Research

I am interested in designing and developing AI agents that learn from the interaction with the world and with other agents. I’m specifically interested in pushing the boundaries of the research in Multimodal Generative AI for Robotics and Embodied AI.

Barbara Webb

Professor and Personal Chair of Biorobotics

Research

Perceptual systems for the control of behaviour, through building computational and physical (robot) models of the hypothesised mechanisms. Insect behaviours

Bonan Zhao

Lecturer in Computational Cognitive Science

Research

How people learn, explore and communicate (multi-agent RL)

David Abel

Honorary Fellow

Research

Agency, Reinforcement Learning, AI Foundations

Kobi Gal

Reader in Artificial Intelligence and Human-Machine Intelligence

Research

Human-in-the-loop Machine Learning, Human-Computer Decision-Making, Artificial Intelligence in Education and in Participatory Democracy, Ethical implications of the Human-in-the-Loop

Michael Rovatsos

Professor and Personal Chair of Artificial Intelligence

Research

Ethical AI: In a multiagent systems context, this mostly means creating mechanisms to elicit users' and stakeholders' views and translate them into concrete constraints and optimisation criteria for algorithms and design principles for algorithms.

Sethu Vijayakumar

Professor and Personal Chair of Robotics

Research

Basic research in the fields of robotics, statistical machine learning, motor control, planning and optimization in autonomous systems and computational neuroscience, Valkyrie humanoid robot, science public outreach