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Philip Bachman — most-cited papers & profile · Reinforcement Learning
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overview
Philip Bachman
9
papers ·
519
citations ·
20
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Deep Reinforcement Learning that Matters
2017 · 366 citations
Data-Efficient Reinforcement Learning with Self-Predictive Representations
2020 · 50 citations
Pretraining Representations for Data-Efficient Reinforcement Learning
2021 · 33 citations
Deep Reinforcement and InfoMax Learning
2020 · 16 citations
Towards Information-Seeking Agents
2016 · 9 citations
Top co-authors
Aaron Courville
· 2
Ankesh Anand
· 2
Max Schwarzer
· 2
Adam Trischler
· 1
Alessandro Sordoni
· 1
Bogdan Mazoure
· 1
David Meger
· 1
Devon Hjelm
· 1
Doina Precup
· 1
Joelle Pineau
· 1
Laurent Charlin
· 1
Michael Noukhovitch
· 1
Topics
Model-Based RL
Value-Based
Exploration
Game AI
Policy Gradient
Meta-RL
Offline RL