6 papers
Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transport
Miguel Costa, Arthur Vandervoort, Carolin Schmidt +5
Climate change is expected to intensify rainfall and, consequently, pluvial flooding, leading to increased disruptions in urban transportation systems over the coming decades. Desi…
Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning
Miguel Costa, Arthur Vandervoort, Carolin Schmidt +4
Climate change is expected to intensify rainfall and other hazards, increasing disruptions in urban transportation systems. Designing effective adaptation strategies is challenging…
Climate Adaptation with Reinforcement Learning: Economic vs. Quality of Life Adaptation Pathways
Miguel Costa, Arthur Vandervoort, Martin Drews +2
Climate change will cause an increase in the frequency and severity of flood events, prompting the need for cohesive adaptation policymaking. Designing effective adaptation policie…
Incorporating Quality of Life in Climate Adaptation Planning via Reinforcement Learning
Miguel Costa, Arthur Vandervoort, Martin Drews +2
Urban flooding is expected to increase in frequency and severity as a consequence of climate change, causing wide-ranging impacts that include a decrease in urban Quality of Life (…
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making
Arthur Vandervoort, Miguel Costa, Morten W. Petersen +4
Subjective wellbeing is a fundamental aspect of human life, influencing life expectancy and economic productivity, among others. Mobility plays a critical role in maintaining wellb…
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen
Miguel Costa, Morten W. Petersen, Arthur Vandervoort +3
Due to climate change the frequency and intensity of extreme rainfall events, which contribute to urban flooding, are expected to increase in many places. These floods can damage t…