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Thomas Hubert — most-cited papers & profile · Reinforcement Learning
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Thomas Hubert
4
papers ·
1155
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
2017 · 1084 citations
Monte-Carlo Tree Search as Regularized Policy Optimization
2020 · 34 citations
Online and Offline Reinforcement Learning by Planning with a Learned Model
2021 · 26 citations
Learning and Planning in Complex Action Spaces
2021 · 11 citations
Top co-authors
Ioannis Antonoglou
· 4
David Silver
· 3
Julian Schrittwieser
· 3
Mohammadamin Barekatain
· 2
Amol Mandhane
· 1
Arthur Guez
· 1
Demis Hassabis
· 1
Dharshan Kumaran
· 1
Florent Altch\'e
· 1
Jean-bastien Grill
· 1
Karen Simonyan
· 1
Laurent Sifre
· 1
Topics
Game AI
Model-Based RL
Value-Based
Policy Gradient
Offline RL
Exploration