Researcher profile

Sebastian Tschiatschek

2 papers in the PaperMetrix corpus

Publications

Papers by this author

Differentiable Submodular Maximization

2018

We consider learning of submodular functions from data. These functions are important in machine learning and have a wide range of applications, e.g. data summarization, feature selection and active learning. Despite their combinatorial nature, submodular …
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning

2018 · arXiv (Cornell University)

Posterior sampling for reinforcement learning (PSRL) is an effective method for balancing exploration and exploitation in reinforcement learning. Randomised value functions (RVF) can be viewed as a promising approach to scaling PSRL. However, we show …