5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Minimax Weight Learning for Absorbing MDPs
Fengyin Li, Yuqiang Li, Xianyi Wu
Reinforcement learning policy evaluation problems are often modeled as finite or discounted/averaged infinite-horizon MDPs. In this paper, we study undiscounted off-policy policy e…
math.PR2018★ 4 cited
A General Framework of Multi-Armed Bandit Processes by Arm Switch Restrictions
Wenqing Bao, Xiaoqiang Cai, Xianyi Wu
This paper proposes a general framework of multi-armed bandit (MAB) processes by introducing a type of restrictions on the switches among arms evolving in continuous time. The Gitt…
math.ST2016★ 5 cited
On Hodges' Superefficiency and Merits of Oracle Property in Model Selection
Xianyi Wu, Xian Zhou
The oracle property of model selection procedures has attracted a large volume of favorable publications in the literature, but also faced criticisms of being ineffective and misle…