Talks & Articles
Public conversations
- Artificial Intelligence: An explainer, a report collaborated with UK Parliamentary Office of Science and Technology(POST), which helps to define how AI can be used, how AI works, and discusses concerns and perceptions surrounding AI.
- Why Meta is allowing users to see the inner workings of its new AI chatbot, an article published on The Conversation, Aug 2023.
Link - Microsoft and Google rivalry could supercharge development of AI, an article published on The Conversation, Jun 2023.
Link - Learning to Play Games with Humans V.S. Learning with Humans to Play, Public talk at Next Level - AI and the Future of Games, King’s Festival of Artificial Intelligence. For more info, click here
Tutorials
- Cooperative multi-agent learning: a review of progress and challenges, in AAAI 2023, ACML 2022, in collaboration wit Dr Joel Leibo (DeepMind).
Tutorial website - A Gentle Dive into Reinforcement Learning, guest lecture at Peking University and Australian National University (ANU) 2023.
slides (one hour) |slides (two hours) - Optimisation for Machine Learning, Oxford Machine Learning Summer School, 2022 & 2023
- Multi-Agent Learning and Evaluation, An introduction to Stochastic Games for Multi-Agent Learning, Evaluation of Human and AI agents, Aug 2021.
slides
Recent Talks
- Decision Structure in Decentralized Multi-Agent Learning, the International Joint Conference on Theoretical Computer Science (IJTCS) Aug 2022
slides - On the Evaluation of Human and AI agent: Past, Present and Future, Jul 2021
slides|video
Teaching
- Optimisation Methods
An introduction to discrete and continuous optimisation methods. Topics include convexity, convex optimisation, gradient methods, dual methods, etc.
King’s College London, 2021/2022 - Multi-agent Artificial Intellgience
an introduction of multi-agent machine learning, a subfield of Artificial Intelligence (AI). Topics include game theory, (multi-agent) reinforcement learning, applications, etc.
University College London, 2019/2020
