rail pricing reinforcement learning environment

New framework uses graph neural networks for dynamic railway pricing

A new research paper introduces a novel framework for dynamic pricing in liberalized high-speed railway markets. The approach uses relational multi-agent reinforcement learning with a graph convolutional network to mode…