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Philip H. S. Torr — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Philip H. S. Torr
18
papers ·
887
citations ·
0
h-index
Fudan University · University of Oxford · Science Oxford
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Most-cited papers
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
2017 · 335 citations
Multi-Agent Common Knowledge Reinforcement Learning
2018 · 51 citations
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
2016 · 46 citations
Learn to Interpret Atari Agents
2018 · 15 citations
Top co-authors
Gregory Farquhar
· 2
Nantas Nardelli
· 2
Shimon Whiteson
· 2
Alban Desmaison
· 1
Christian A. Schroeder de Witt
· 1
Jakob Foerster
· 1
Jakob N. Foerster
· 1
Li Zhang
· 1
N. Siddharth
· 1
Ondrej Miksik
· 1
Pushmeet Kohli
· 1
Shehroze Bhatti
· 1
Topics
Game AI
Value-Based
Multi-Agent
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Policy Gradient