ملف الباحث
Sebastian Tschiatschek
ورقتان في مجموعة PaperMetrix
المنشورات
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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 …
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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 …