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cs.LG2024
Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems
Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena +2
Bike-sharing systems play a crucial role in easing traffic congestion and promoting healthier lifestyles. However, ensuring their reliability and user acceptance requires effective…
math.OC2024
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo, Karen Aardal, Andrea Lodi +1
Mixed Integer Linear Programming (MILP) is a pillar of mathematical optimization that offers a powerful modeling language for a wide range of applications. During the past decades,…
cs.LG2024
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…