12 citations · 12 across the 1 of their papers we have counts for
3 papers
math.OC2020★ 12 cited
Scalable Deep Reinforcement Learning for Ride-Hailing
Jiekun Feng, Mark Gluzman, J. G. Dai
Ride-hailing services, such as Didi Chuxing, Lyft, and Uber, arrange thousands of cars to meet ride requests throughout the day. We consider a Markov decision process (MDP) model o…
math.PR2016
Steady-state Diffusion Approximations for Discrete-time Queue in Hospital Inpatient Flow Management
Jiekun Feng, Pengyi Shi
In this paper, we analyze a discrete-time queue that is motivated from studying hospital inpatient flow management, where the customer count process captures the midnight inpatient…
math.PR2015
Stein's method for steady-state diffusion approximations: an introduction through the Erlang-A and Erlang-C models
Anton Braverman, J. G. Dai, Jiekun Feng
This paper provides an introduction to the Stein method framework in the context of steady-state diffusion approximations. The framework consists of three components: the Poisson e…