I am Professor of Computer Science at the Department of Computer Science at University College London (UCL), where I lead the Machine Intelligence Lab. We are part of the UCL Centre for Artificial Intelligence and the Intelligent Systems Group. I am also Professor of Computer Science at the Department of Computer Science and Engineering at the University of Bologna.

What’s New

• May 2025 New preprint: “Reward Model Overoptimisation in Iterated RLHF”. You can download the paper here.

• April 2025 Our paper “Moral Alignment for LLM Agents” will be presented at the 13th International Conference on Learning Representations (ICLR 2025). You can download the paper here.

• April 2025 Our paper “Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis” has been accepted for publication in the Blue Sky Track of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025). You can download the paper here.

• March 2025 I gave an invited talk at the UK Multi-Agent Systems Symposium 2025 (UK-MAS) on 19 March 2025.

• March 2025 Our paper “Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems” has been accepted in the Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS). You can download the paper here.

• March 2025 New preprint: “Quantum Chemistry Driven Molecular Inverse Design with Data-free Reinforcement Learning”. You can download the paper here.

• February 2025 New preprint: “DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation”. You can download the paper here.

• February 2025 New preprint: “Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation”. You can download the paper here.

• January 2025 Our paper “Moral Alignment for LLM Agents” has been accepted for publication at the 13th International Conference on Learning Representations (ICLR 2025). The camera ready version will be available soon. In the meantime, you can find the preprint here.

• January 2025 Our paper “Partial Information Decomposition for Data Interpretability and Feature Selection” has been accepted at the 28th International Conference on Artificial Intelligence and Statistics (AISTAT 2025). The camera ready version will be available soon. In the meantime, you can find the preprint here.

• January 2025 Our paper “A Cost-aware Adaptive Bike Repositioning Agent using Deep Reinforcement Learning” has been accepted in IEEE Transactions on Intelligent Transportation Systems. The camera ready version will appear soon. In the meantime, you can download the preprint of the paper here.

• November 2024 Our paper “Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies” has been accepted for publication at the 3rd Learning on Graph Conference (LoG 2024). The preprint of the paper can be found here.

• November 2024 Our paper “Feature Selection for Network Intrusion Detection” has been accepted for publication in the Research Track of the 31st ACM Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2025). The camera ready version will be available soon. In the meantime, you can find the preprint here.

• November 2024 New preprint: “Mutual Information Preserving Neural Network Pruning”. You can download the paper here.

• November 2024 Our paper “On the Creativity of Large Language Models” has been accepted for publication in AI&Society. The camera ready version of the paper will be ready soon. In the meantime, you can find a preprint of the article here.

Previous news items can be found here.

Research Interests

I have broad research interests spanning several traditional and emerging areas of Computer Science and beyond.

More specifically, current research areas of interest include:

• Machine Learning (in particular, decision-making problems in both single-agent and multi-agent scenarios);
• Generative Artificial Intelligence (foundational models/large language models and their applications);
• Computational models (in particular, learning models) of human/user/machine behaviour;
• Machine Learning for mobile, IoT and cyber-physical systems;
• AI and cyber-security;
• AI and society.

More information about my research activities can be found here.

Last updated: 7 July 2025.