42 citations · 93 across the 11 of their papers we have counts for
16 papers
Robust Constrained Reinforcement Learning
Yue Wang, Fei Miao, Shaofeng Zou
Constrained reinforcement learning is to maximize the expected reward subject to constraints on utilities/costs. However, the training environment may not be the same as the test o…
Policy Gradient Method For Robust Reinforcement Learning
Yue Wang, Shaofeng Zou
This paper develops the first policy gradient method with global optimality guarantee and complexity analysis for robust reinforcement learning under model mismatch. Robust reinfor…
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks
Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang +1
The problem of quickest change detection (QCD) in anonymous heterogeneous sensor networks is studied. There are heterogeneous sensors and a fusion center. The sensors are clust…
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang, Shaofeng Zou
Robust reinforcement learning (RL) is to find a policy that optimizes the worst-case performance over an uncertainty set of MDPs. In this paper, we focus on model-free robust RL, w…
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
Tianjiao Li, Ziwei Guan, Shaofeng Zou +3
The problem of constrained Markov decision process (CMDP) is investigated, where an agent aims to maximize the expected accumulated discounted reward subject to multiple constraint…
Sequential (Quickest) Change Detection: Classical Results and New Directions
Liyan Xie, Shaofeng Zou, Yao Xie +1
Online detection of changes in stochastic systems, referred to as sequential change detection or quickest change detection, is an important research topic in statistics, signal pro…