6 citations · 6 across the 10 of their papers we have counts for
6 papers · 1 filter
When Mobile Crowdsourcing Meets Queueing Systems: Human-in-the-Loop Learning
Hongbo Li, Lingjie Duan, Ness B. Shroff
In service systems, customers now rely on congestion information before deciding which queue or server to join, from restaurants and theme-park attractions to road networks. We stu…
Competitive Multi-armed Bandit Games for Resource Sharing
Hongbo Li, Lingjie Duan
In modern resource-sharing systems, multiple agents access limited resources with unknown stochastic conditions to perform tasks. When multiple agents access the same resource (arm…
To Analyze and Regulate Human-in-the-loop Learning for Congestion Games
Hongbo Li, Lingjie Duan
In congestion games, selfish users behave myopically to crowd to the shortest paths, and the social planner designs mechanisms to regulate such selfish routing through information…
To Optimize Human-in-the-loop Learning in Repeated Routing Games
Hongbo Li, Lingjie Duan
Today navigation applications (e.g., Waze and Google Maps) enable human users to learn and share the latest traffic observations, yet such information sharing simply aids selfish u…
Distributed Learning for Dynamic Congestion Games
Hongbo Li, Lingjie Duan
Today mobile users learn and share their traffic observations via crowdsourcing platforms (e.g., Google Maps and Waze). Yet such platforms myopically recommend the currently shorte…
Human-in-the-loop Learning for Dynamic Congestion Games
Hongbo Li, Lingjie Duan
Today mobile users learn and share their traffic observations via crowdsourcing platforms (e.g., Waze). Yet such platforms simply cater to selfish users' myopic interests to recomm…