output
20122025
most citedDeep Reinforcement Learning that Matters

345 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2017 · cs.LGShow all

2 papers · 2 filters

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…