About Me

I am currently an Assistant Professor (UK Lecturer) at King’s College London and a member of Distributed Artificial Intelligence Group. Prior to joining King’s, I was a postdoc researcher at Centre for AI, University College London. My research interest lies in machine learning and reinforcement learning, especially in the topics of multi-agent learning, policy evaluation, social agents, and applications to Game AI and data science.

• I am actively looking for PhD students and postdocs to work with me. Check Openings for funding opportunities and topics of interest. Please drop me an email with your CV and interest.
• I am happy to host (remote) undergraduate / graduate visitors and supervise summer research projects. Please drop me an email with your CV and interest.

I will give a tutorial on “Cooperative multi-agent learning: a review of progress and challenges” at ACML 12-14 Dec, 2022 at Hyderabad, India， together with Joel Z. Leibo from DeepMind. More details to be released.

Recent

• 1 Sep 2022 - we are organizing the 1st International Workshop on Safe Reinforcement Learning Theory and its Applications at 2022 IEEE International Conference on Multisensor Fusion and Integration (20-22 Sep). Registration Deadline: Sep 1, 2022
• 17 Aug 2022 - I am giving a talk on “Decision Structure in Decentralized Multi-Agent Learning” at International Joint Conference on Theoretical Computer Science – Frontier of Algorithmic Wisdom (IJTCS-FAW) 2022.
• 30 Jun 2022 - One paper on “Scalable model-based policy optimization for decentralized networked systems” has been accepted by 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
• 08 Mar 2022 - Invited to give a tutorial at Oxford Machine Learning Summer School. This is a three-hour tutorial on optimisation for machine learning. Welcome to join!
• 21 Jan 2022 - Our paper on offline goal-conditioned reinforcement learning has been accepted by ICLR 2022.
• 10 Dec 2022 - One paper got accepted by AAMAS 2022. We propose to coordinate agents’ behaviors based on directed acyclic graphs (DAGs).
• 10 Nov 2021 - Invited to serve as Session Chair for Reinforcement Learning in Asian Conference on Machine Learning 2021
• 16 Aug 2021 - Invited talk on RLChina summer school, check schedule.
• 07 Aug 2021 - Invited to serve as Senior PC for AAAI 2022.
• 10 Jul 2021 - Our paper on Reinforcement Learning for Vehicle Routing has been accepted by IEEE Transactions on Cybernetics.
• 08 May 2021 - Two papers on multi-agent evaluation by alpha-rank and solving general sum stochastic games are accepted by ICML 2021.
• 29 Apr 2021 - Our paper on reinforcement learning for causal discovery has been accepted by IJCAI-21.
• 16 Jan 2021 - Our paper on reinforcement learning for multi-aspect recommendation has been accepted by The Web Conference.
• 18 Dec 2020 - One paper on learning correlated communication topology for MARL has been accepted by AAMAS 2021 (London Online) as oral presentation.
• 09 Dec 2020 - Invited to serve as the reviewer for ICML 2021.
• 26 Sep 2020 - One paper on RL for text-based games is accepted by NeurIPS 2020.
• 17 Aug 2020 - Invited to serve as the PC for AAAI 2020.
• 4 Apr 2020 - Invited talk at Youth Forum in Center on Frontiers of Computing, Peking University. Details can be found here.
• Mar 2020 - Invited to serve as the Reviewer for NeurIPS and IROS 2020.
• Dec 2019 - Invited to serve as the PC of IJCAI, ICML 2020.

Contact

Email: yali.dux AT gmail.com
Address: Bush House, 30 Aldwych, WC2B 4BG