882 citations · 2.6k across the 89 of their papers we have counts for
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stat.ML2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
Data-efficient learning in continuous state-action spaces using very high-dimensional observations remains a key challenge in developing fully autonomous systems. In this paper, we…
stat.ML2015★ 20 cited
Marginalizing Gaussian Process Hyperparameters using Sequential Monte Carlo
Andreas Svensson, Johan Dahlin, Thomas B. Schön
Gaussian process regression is a popular method for non-parametric probabilistic modeling of functions. The Gaussian process prior is characterized by so-called hyperparameters, wh…