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20122025
most citedDeep Reinforcement Learning that Matters

345 citations

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Showing 2017Show all

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cs.LG2017★ 345 cited

Deep Reinforcement Learning that Matters

Peter Henderson, Riashat Islam, Philip Bachman +3

In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning (RL). Reproducing existing work and acc…

cs.LG2017★ 53 cited

Learning Algorithms for Active Learning

Philip Bachman, Alessandro Sordoni, Adam Trischler

We introduce a model that learns active learning algorithms via metalearning. For a distribution of related tasks, our model jointly learns: a data representation, an item selectio…