Smart Transportation Without Neurons -- Fair Metro Network Expansion with Tabular Reinforcement Learning 事件

Smart Transportation Without Neurons -- Fair Metro Network Expansion with Tabular Reinforcement Learning arXiv:2606.04167v1 Announce Type: cross Abstract: We tackle the Metro Network Expansion Problem (MNEP), a subset of the Transport Network Design Problem (TNDP), which focuses on expanding metro systems to satisfy travel demand. Traditional methods rely on exact and heuristic approaches that require expert-defined constraints to reduce the search space. Recently, deep reinforcement learning (