10 citations · 22 across the 15 of their papers we have counts for
15 papers
Learning Long-Term Educational Investment Policies under Residential Sorting
Honglei Guo, Shuo Chen, Mingjie Bi +3
Allocating public-school investment effectively and fairly is difficult when school access depends on residence. School improvements can raise nearby housing demand and prices, res…
Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game
Honglei Guo, Yuhan Zhao, Yexin Li +1
Taxation is a fundamental instrument of economic policy and has long been studied through economic models. However, most existing taxation models focus on interactions within a sin…
Adaptive Value Decomposition: Coordinating a Varying Number of Agents in Urban Systems
Yexin Li, Jinjin Guo, Haoyu Zhang +3
Multi-agent reinforcement learning (MARL) provides a promising paradigm for coordinating multi-agent systems (MAS). However, most existing methods rely on restrictive assumptions,…
Mean Field Control by Stochastic Koopman Operator via a Spectral Method
Yuhan Zhao, Juntao Chen, Yingdong Lu +1
Mean field control provides a robust framework for coordinating large-scale populations with complex interactions and has wide applications across diverse fields. However, the inhe…
Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning
Yuhan Zhao, Lan Shi, Quanyan Zhu
As assembly tasks grow in complexity, collaboration among multiple robots becomes essential for task completion. However, centralized task planning has become inadequate for adapti…
Stackelberg Meta-Learning Based Shared Control for Assistive Driving
Yuhan Zhao, Quanyan Zhu
Shared control allows the human driver to collaborate with an assistive driving system while retaining the ability to make decisions and take control if necessary. However, human-v…
Incentive-Compatible and Distributed Allocation for Robotic Service Provision Through Contract Theory
Yuhan Zhao, Quanyan Zhu
Robot allocation plays an essential role in facilitating robotic service provision across various domains. Yet the increasing number of users and the uncertainties regarding the us…
Integrated Cyber-Physical Resiliency for Power Grids under IoT-Enabled Dynamic Botnet Attacks
Yuhan Zhao, Juntao Chen, Quanyan Zhu
The wide adoption of Internet of Things (IoT)-enabled energy devices improves the quality of life, but simultaneously, it enlarges the attack surface of the power grid system. The…
Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator
Yuhan Zhao, Quanyan Zhu
Guided trajectory planning involves a leader robot strategically directing a follower robot to collaboratively reach a designated destination. However, this task becomes notably ch…
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…
Herd Behaviors in Epidemics: A Dynamics-Coupled Evolutionary Games Approach
Shutian Liu, Yuhan Zhao, Quanyan Zhu
The recent COVID-19 pandemic has led to an increasing interest in the modeling and analysis of infectious diseases. The pandemic has made a significant impact on the way we behave…