output
20142026
most citedQuantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

85 citations

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cs.LG2021★ 6 cited

Differentiable Trust Region Layers for Deep Reinforcement Learning

Fabian Otto, Philipp Becker, Ngo Anh Vien +2

Trust region methods are a popular tool in reinforcement learning as they yield robust policy updates in continuous and discrete action spaces. However, enforcing such trust region…

cs.LG2020★ 2 cited

Variational Dynamic Mixtures

Chen Qiu, Stephan Mandt, Maja Rudolph

Deep probabilistic time series forecasting models have become an integral part of machine learning. While several powerful generative models have been proposed, we provide evidence…