3 papers
cs.LG2026
Deep RL Dual Sourcing Inventory Management with Supply and Capacity Risk Awareness
Defeng Liu, Ying Liu, Carson Eisenach
In this work, we study how to efficiently apply reinforcement learning (RL) for solving large-scale stochastic optimization problems by leveraging intervention models. The key of t…
cs.LG2025
Single- vs. Dual-Policy Reinforcement Learning for Dynamic Bike Rebalancing
Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena +2
Bike-sharing systems (BSS) provide a sustainable urban mobility solution, but ensuring their reliability requires effective rebalancing strategies to address stochastic demand and…
math.OC2025
Learning Large Neighborhood Search for Maritime Inventory Routing Optimization
Rui Chen, Defeng Liu, Nan Jiang +3
Maritime inventory routing optimization is an important yet challenging combinatorial optimization problem. We propose a machine learning-based local search approach for finding fe…