Schroeder, C.; et al (2019): “Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem

Schroeder, Christian, and Thomas Hornigold. 2019. “Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem.” ArXiv.Org. 2019. https://arxiv.org/abs/1905.07366v1.

‌“We suggest treating SAI as a high-dimensional control problem, with policies trained according to a context-sensitive reward function within the Deep Reinforcement Learning (DRL) paradigm. In order to facilitate training in simulation, we suggest to emulate HadCM3, a widely used General Circulation Model, using deep learning techniques. We believe this is the first application of DRL to the climate sciences.“

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