Many real-world AI problems are naturally modelled as cooperative multi-agent systems, where a group of agents work together to achieve a common goal. In this talk, I will discuss some key challenges in designing reinforcement learning methods for agents to efficiently learn to collaborate in complex environments, including credit assignment, scalability, uncertainty, and heterogeneity. I also present several approaches proposed in my group that address these challenges and enable efficient learning for multi-agent collaboration.
About CIR2020: To boost the theoretical and technological innovation of artificial intelligence, promote academic exchanges and technological progress in fields related to crowd intelligence, z6首页 is holding a series seminar named Crowd Intelligence Research Series Seminar, inviting 9 scholars and researchers from different universities and institutes to share their researches in the field of crowd intelligence.
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Chongjie Zhang
Assistant Professor of Tsinghua University
张崇洁是清华大学交叉信息钻研院助理教授，，，，，，博士生导师。。。。。2011年在美国麻省大学阿默斯特分；；；；；裢扑慊蒲Р┦垦唬，，，后在麻省理工学院从事博士后钻延祝。。。。目前的钻研兴致重要在人为智能、强化进建、多智能体系统等领域。。。。。
