10 citations · 22 across the 15 of their papers we have counts for
5 papers · 1 filter
Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning
Yuhan Zhao, Quanyan Zhu
Trajectory guidance requires a leader robotic agent to assist a follower robotic agent to cooperatively reach the target destination. However, planning cooperation becomes difficul…
Stackelberg Meta-Learning Based Control for Guided Cooperative LQG Systems
Yuhan Zhao, Quanyan Zhu
Guided cooperation allows intelligent agents with heterogeneous capabilities to work together by following a leader-follower type of interaction. However, the associated control pr…
Multi-Agent Learning for Resilient Distributed Control Systems
Yuhan Zhao, Craig Rieger, Quanyan Zhu
Resilience describes a system's ability to function under disturbances and threats. Many critical infrastructures, including smart grids and transportation networks, are large-scal…
Autonomous and Resilient Control for Optimal LEO Satellite Constellation Coverage Against Space Threats
Yuhan Zhao, Quanyan Zhu
LEO satellite constellation coverage has served as the base platform for various space applications. However, the rapidly evolving security environment such as orbit debris and adv…
Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration
Yuhan Zhao, Baichuan Huang, Jingjin Yu +1
In this study, we explore the application of game theory, in particular Stackelberg games, to address the issue of effective coordination strategy generation for heterogeneous robo…