Research
My research concerns artificial intelligence, with a particular focus on machine learning techniques such as deep reinforcement learning and learning from demonstrations. My current research topics cover large-scale deep reinforcement learning, policy gradient methods, and optimization theory. I am applying these methods to problems in video games, robotics and multi-agent systems.
Recent updates
- 2024-10-01: Funding award (PI): TICM Collaborative R&D programme
- 2024-07-17: Funding award (Co-I) of Generative Modeling for Engineering Design, sponsored by Cummins Turbo Technologies Ltd, collaboratively with Dr Wei Pan and Dr Alex Skillen
- 2024-06-18: Received School of Engineering Pump Priming, Theme Development and Dissemination fund
- 2024-05-17: One paper accepted to KDD 2024
- 2024-02-01: Funding award (Co-I) of AI Hub in Generative Models, collaboratively with Professor David Barber
- 2023-12-14: One paper accepted to IUI 2024
- 2023-10-31: Funding award (Co-I) of UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems, collaboratively with Dr Mauricio Alvarez
- 2023-10-03: Quality Champion Award for the ECAI Reviewer
- 2023-09-22: One paper accepted to NeurIPS 2023
- 2023-06-21: One proposal accepted to AAAI 2023 Fall Symposium Series
- 2023-06-01: Best Paper Award at AAMAS 2023
- 2023-05-16: One paper accepted to CoLLAs 2023
- 2023-01-20: One paper accepted to ICLR 2023
- 2023-01-03: One paper accepted to AAMAS 2023
- 2022-12-07: Joined University of Manchester as a lecturer