80 citations · 283 across the 19 of their papers we have counts for
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cs.LG2021★ 3 cited
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich +7
Building sample-efficient agents that generalize out-of-distribution (OOD) in real-world settings remains a fundamental unsolved problem on the path towards achieving higher-level…
cs.LG2021★ 2 cited
Regret Bounds for Gaussian-Process Optimization in Large Domains
Manuel Wüthrich, Bernhard Schölkopf, Andreas Krause
The goal of this paper is to characterize Gaussian-Process optimization in the setting where the function domain is large relative to the number of admissible function evaluations,…