Tabular RL method for fair metro network expansion proposed

Arxiv CS.LG (machine learning)

Researchers introduce a tabular reinforcement learning approach for the Metro Network Expansion Problem (MNEP), aiming to satisfy travel demand while considering fairness. The method is evaluated on benchmark instances, showing competitive performance against traditional exact and heuristic methods.

reinforcement-learning

Arxiv CS.LG (machine learning)·Dimitris MichailidisSennay GhebreabFernando P. Santos

7 days ago