Workshop on Multi-Agent Systems in Complex Environments


 Nanyang Technological University, 50 Nanyang Avenue, Singapore 

December 01, 2023



Objectives

This workshop explores the dynamic and challenging realm of multi-agent systems (MAS) operating within complex environments characterized by dynamism, uncertainty, heterogeneity, adversarial nature, large scale, interdependencies, and high dimensionality. Participants are encouraged to present case studies and real-world applications, shedding light on how MAS can revolutionize domains such as embodied agents, autonomous vehicles, robotics, and beyond.

Invited Speakers

Yang Yu

Nanjing University

Ying Wen

Shanghai Jiao Tong University

Yitao Liang

 Peking University

Yali Du

King's College London

Xiaolong Zhu

Parametrix AI

Xiaotian Hao

Tianjing University

Xihuai Wang

Shanghai JiaoTong University

Workshop Agenda

9:00 - 9:15 Opening

Speaker: Siyuan Qi, BIGAI


09:15-10:00 Multi-agent Cooperation in Social Context

Speaker: Yali Du, King's College London


10:00-10:30 Coffee Break


10:30-11:15 From Symbolic Knowledge to LLM-based Planning

Speaker: Yitao Liang, Peking University


11:15-12:00  Towards Learning Open-Environment Cooperative Agents

Speaker: Yang Yu, Nanjing University


12:00-13:30 Lunch Break


13:30-14:15 Cooperative Compatibility of AI:  a cooperative open-ended learning perspective

Speaker: Ying Wen, Shanghai Jiao Tong University 


14:15-15:00 Some Thought Experiments by Simulation with Large-Scale NPCs

Speaker: Xiaolong Zhu, Parametrix AI


15:00-15:30 Coffee Break


15:30-16:00 Investigating Large-Scale Model Design in Multi-Agent Reinforcement Learning: An Initial Exploration

Student Speaker: Xiaotian Hao, Tianjin University


16:00-16:30 Zero-Shot Coordination Capability Evaluation

Student Speaker: Xihuai Wang, Shanghai Jiao Tong University


16:30-16:45 Closing Remark

Speaker: Fangwei Zhong, Peking University & BIGAI

Organizers