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)
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
