41 citations · 189 across the 39 of their papers we have counts for
39 papers
Large-System Insensitivity of Zero-Waiting Load Balancing Algorithms
Xin Liu, Kang Gong, Lei Ying
This paper studies the sensitivity (or insensitivity) of a class of load balancing algorithms that achieve asymptotic zero-waiting in the sub-Halfin-Whitt regime, named LB-zero. Mo…
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
Jueming Hu, Xuxi Yang, Weichang Wang +3
Obstacle avoidance for small unmanned aircraft is vital for the safety of future urban air mobility (UAM) and Unmanned Aircraft System (UAS) Traffic Management (UTM). There are man…
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes
Honghao Wei, Xin Liu, Lei Ying
This paper presents the first model-free, simulator-free reinforcement learning algorithm for Constrained Markov Decision Processes (CMDPs) with sublinear regret and zero constrain…
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu, Bin Li, Pengyi Shi +1
This paper considers stochastic linear bandits with general nonlinear constraints. The objective is to maximize the expected cumulative reward over horizon subject to a set of…
POND: Pessimistic-Optimistic oNline Dispatching
Xin Liu, Bin Li, Pengyi Shi +1
This paper considers constrained online dispatching with unknown arrival, reward and constraint distributions. We propose a novel online dispatching algorithm, named POND, standing…
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
Honghao Wei, Lei Ying
In this paper, we propose a new type of Actor, named forward-looking Actor or FORK for short, for Actor-Critic algorithms. FORK can be easily integrated into a model-free Actor-Cri…