Talk Details:

In the early days of tackling AI problems involving complex cooperation and strategic interactions, algorithmic approaches were widely employed. Reinforcement learning has since proven effective in learning efficient policies for large-scale optimization problems that are beyond the scalability of traditional algorithmic approaches. Recently, the use of large language models (LLMs) as computational engines has given rise to a new paradigm: LLM-powered agents capable of addressing complex problems across various domains. This talk will explore our recent work within these three paradigms and offer insights into the development of scalable, efficient, and distributed artificial general intelligence.

Speaker Details:

Bo An is a President’s Chair Professor in Computer Science, Head of Division of Artificial Intelligence, and Director of Centre of AI-for-X at Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst. His current research interests include artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization. His research results have been successfully applied to many domains including infrastructure security, sustainability and e-commerce. He has published over 150 referred papers at AAMAS, IJCAI, AAAI, ICLR, NeurIPS, ICML, AISTATS, ICAPS, KDD, UAI, EC, WWW, JAAMAS, and AIJ. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, 2018 Nanyang Research Award (Young Investigator), and 2022 Nanyang Research Award. His publications won the Best Innovative Application Paper Award at AAMAS’12, the Innovative Application Award at IAAI’16, and the best paper award at DAI’20. He was invited to give Early Career Spotlight talk at IJCAI’17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He was PC Co-Chair of AAMAS’20 and General Co-Chair of AAMAS’23. He is on the IJCAI Board of Trustees and will be Program Chair of IJCAI’27. He is Editor-in-Chief of IEEE Intelligent Systems. He is the Associate Editor of AIJ, JAAMAS, ACM TAAS, ACM TIST and a member of the editorial board of JAIR. He was elected to the board of directors of IFAAMAS, senior member of AAAI, and Distinguished member of ACM.