Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport

ArXi:2603.06278v1 Announce Type: new Climate change is expected to intensify rainfall and, consequently, pluvial flooding, leading to increased disruptions in urban transportation systems over the coming decades. Designing effective adaptation strategies is challenging due to the long-term, sequential nature of infrastructure investments, deep climate uncertainty, and the complex interactions between flooding, infrastructure, and mobility impacts. In this work, we propose a novel decision- framework using reinforcement learning (RL) for long-term flood adaptation planning.