报告题目：Collaborative Autonomous Multi-Agent Systems

　　报告人：张崇洁

　　单位：清华大学交叉信息研究院

　　时间：2017年3月10日上午10:00

　　地点：大气所40号楼319会议室

　　欢迎大家踊跃参加并讨论！

　　ABSTRACT: Collaboration abounds in nature, enabling groups to accomplish tasks beyond capabilities of any individual. Collaborative artificial intelligence is essential for intelligent agents, including physical robots and software agents, to solve complex real-world problems, by enabling them to work effectively with each other and humans.

　　In this talk, I will first present a coordinated, distributed reinforcement learning framework for enabling a network of autonomous agents, such as multi-robot systems and sensor networks, to learn to efficiently collaborate and coordinate. This framework allows agents with limited communication to effectively learn when, with whom, and how to coordinate in a dynamic, uncertain environment. I will then introduce a hierarchical planning method for enabling large-scale human-robot collaboration. This planning method allows human-robot teams to work together safely and efficiently under temporal and spatial constraints and under uncertainty. I also discuss their evaluation on domains of target tracking and manufacturing, respectively.

　　张崇洁，清华大学交叉信息研究院助理教授，博士生导师。在加入清华大学之前，他在美国麻省理工学院计算机科学与人工智能实验室（MIT CSAIL）从事了三年的博士后研究员工作。他于2011年在麻省大学阿默斯特分校计算机系获得博士学位。他的研究兴趣包括人工智能、机器人、多智能体系统、强化学习、机器学习、以及博弈论，专注于开发自主智能化系统，并将理论应用于气候监测、制造业、云计算、空域管理等领域。