3 citations · 6 across the 10 of their papers we have counts for
4 papers · 1 filter
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems
Xin Liu, Honghao Wei, Lei Ying
This paper studies a class of multi-agent reinforcement learning (MARL) problems where the reward that an agent receives depends on the states of other agents, but the next state o…
Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB
Zixian Yang, R. Srikant, Lei Ying
Multi-server queueing systems are widely used models for job scheduling in machine learning, wireless networks, crowdsourcing, and healthcare systems. This paper considers a multi-…
On Low-Complexity Quickest Intervention of Mutated Diffusion Processes Through Local Approximation
Qining Zhang, Honghao Wei, Weina Wang +1
We consider the problem of controlling a mutated diffusion process with an unknown mutation time. The problem is formulated as the quickest intervention problem with the mutation m…
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment
Zixian Yang, Xin Liu, Lei Ying
Multi-armed bandit (MAB) is a classic model for understanding the exploration-exploitation trade-off. The traditional MAB model for recommendation systems assumes the user stays in…