1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health
Jackson A. Killian, Manish Jain, Yugang Jia +3
Restless multi-armed bandits (RMABs) are a popular framework for algorithmic decision making in sequential settings with limited resources. RMABs are increasingly being used for se…
cs.MA2022★ 1 cited
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits
Abheek Ghosh, Dheeraj Nagaraj, Manish Jain +1
We study the problem of planning restless multi-armed bandits (RMABs) with multiple actions. This is a popular model for multi-agent systems with applications like multi-channel co…