Optimizing Heat Alert Issuance with Reinforcement Learning

arXiv:2312.14196v2 Announce Type: replace
Abstract: A key strategy in societal adaptation to climate change is the use of alert systems to reduce the adverse health impacts of extreme heat events by prompting preventative action. In this work, we investigate reinforcement learning (RL) as a tool to optimize the effectiveness of such systems. Our contributions are threefold. First, we introduce a novel RL environment enabling the evaluation of the effectiveness of heat alert policies to reduce heat-related hospitalizations. The rewards model …

abstract alert arxiv change climate climate change cs.lg events extreme heat health heat impacts key prompting reduce reinforcement reinforcement learning stat.ap strategy systems tool type work