Markov Decision Process Framework for Control-Based Reinforcement Learning
- 2023
- SIGMETRICS 2023
Yingdong Lu
Title
Research Staff Member
Bio
I am a researcher in Mathematical Sciences. My reseach interests are in the areas of analysis and probability.
I studied mathmatics and operations research at Peking University in Beijing and Columbia University in the city of New York.
Publications
On A Stein Method Based Approximation for A Two-Dimensional Markov Chain
- 2023
- Appl. Math.
Optimal Control in Fluid Models of Stochastic Networks with Constraints
- Yingdong Lu
- Mark Squillante
- et al.
- 2020
- INFORMS 2020
A General Family of Robust Stochastic Operators for Reinforcement Learning
- 2019
- arXiv
Heuristic policies for stochastic knapsack problem with time-varying random demand
- 2018
- Appl Stochastic Models Bus Indus
Bounded-Velocity Stochastic Control for Dynamic Resource Allocation
- Xuefeng Gao
- Yingdong Lu
- et al.
- 2018
- arXiv
Top collaborators
LH
Lior Horesh
Senior Manager, Mathematics & Theoretical Computer Science
MS
Mark S. Squillante
Distinguished Research Staff Member and Manager, Foundations of Probability and Dynamics, Math Sciences
CW
Chai Wah Wu
Principal Research Staff Member