Workshop on Multi-Agent Systems in Complex Environments
Nanyang Technological University, 50 Nanyang Avenue, Singapore
December 01, 2023
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Objectives
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
Invited Speakers
Nanjing University
Shanghai Jiao Tong University
Peking University
King's College London
Workshop Agenda
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
Organizers
Peking University, Beijing Institute for General Artificial Intelligence (BIGAI)
Beijing Institute for General Artificial Intelligence (BIGAI)
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