52 citations · 54 across the 6 of their papers we have counts for
4 papers · 1 filter
Learning to Harvest Without Collapse in a Regenerative Commons: A Lagrangian Framework
Jose Tupayachi, Xueping Li, Soham Das
The tragedy of the commons poses a multi-agent safety problem: reward-seeking agents can deplete a shared resource, and cooperation among its users does not itself specify how much…
Data-Driven Stress Testing of Intermodal Freight Networks Using GAN-Generated Disruption Scenarios
Xudong Wang, Mustafa Can Camur, Sabarna Choudhuri +1
Intermodal freight networks are increasingly exposed to correlated, multi-mode disruptions, yet resilience assessments often rely on historical or uncorrelated scenarios that under…
Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning
Madelaine Martinez-Ferguson, Chun Wang, Mustafa Can Camur +1
Smart freight corridors offer a practical pathway for connected and automated vehicle (CAV) deployment in freight transportation, but physical experimentation is expensive and exis…
Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption
Aliza Sharmin, Xudong Wang, Mustafa Can Camur +1
Intermodal freight networks face growing disruption risk from climate extremes that degrade multiple corridors simultaneously. To address this, we formulate freight routing as a De…