Federated Learning for Discrete Optimal Transport with Large Population under Incomplete InformationJuntao ChenYingdong Lu2024ISMP 2024
Polynomial convergence of iterations of certain random operators in Hilbert spaceSoumyadip GhoshYingdong Luet al.2024Journal of Applied Analysis
On Representations of Mean-Field Variational InferenceSoumyadip GhoshYingdong Luet al.2023NeurIPS 2023
General Markov Decision Process Framework for Directly Learning Optimal Control PoliciesYingdong LuMark Squillanteet al.2023SIAM CT 2023
Markov Decision Process Framework for Control-Based Reinforcement LearningYingdong LuMark Squillanteet al.2023SIGMETRICS 2023
Optimal Control in Fluid Models of Stochastic Networks with ConstraintsYingdong LuMark Squillanteet al.2020INFORMS 2020
A General Family of Robust Stochastic Operators for Reinforcement LearningYingdong LuMark Squillanteet al.2019arXiv
Heuristic policies for stochastic knapsack problem with time-varying random demandYingdong Lu2018Appl Stochastic Models Bus Indus
Bounded-Velocity Stochastic Control for Dynamic Resource AllocationXuefeng GaoYingdong Luet al.2018arXiv
MSMark S. SquillanteDistinguished Research Staff Member and Manager, Foundations of Probability and Dynamics, Math Sciences