20/12/2019 - For the first time, a specific way of machine learning has been used to find novel pathways for sustainable development. So far, the so-called 'Deep Reinforcement Learning' has mostly been used to make computers excel in certain games, such as AlphaGo, or navigate robots through rough terrain. Now, scientists from the Potsdam Institute for Climate Impact Research developed a mathematical framework combining recently developed machine learning techniques with more classical analysis of trajectories in computer simulations of the global climate system and the global economy. The results, published in the interdisciplinary journal on nonlinear phenomena 'Chaos', are promising.
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