43 citations · 43 across the 4 of their papers we have counts for
4 papers
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
Gongpu Chen, Soung Chang Liew, Deniz Gunduz
The restless multi-armed bandit (RMAB) framework is a popular model with applications across a wide variety of fields. However, its solution is hindered by the exponentially growin…
Intermittently Observable Markov Decision Processes
Gongpu Chen, Soung-Chang Liew
This paper investigates MDPs with intermittent state information. We consider a scenario where the controller perceives the state information of the process via an unreliable commu…
An Index Policy for Minimizing the Uncertainty-of-Information of Markov Sources
Gongpu Chen, Soung Chang Liew
This paper focuses on the information freshness of finite-state Markov sources, using the uncertainty of information (UoI) as the performance metric. Measured by Shannon's entropy,…
Uncertainty-of-Information Scheduling: A Restless Multi-armed Bandit Framework
Gongpu Chen, Soung Chang Liew, Yulin Shao
This paper proposes using the uncertainty of information (UoI), measured by Shannon's entropy, as a metric for information freshness. We consider a system in which a central monito…