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Luke Metz — most-cited papers & profile · Reinforcement Learning
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overview
Luke Metz
5
papers ·
1265
citations ·
17
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Discrete Sequential Prediction of Continuous Actions for Deep RL
2017 · 70 citations
Discovered Policy Optimisation
2022 · 16 citations
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
2019 · 9 citations
Top co-authors
Alistair Letcher
· 1
C. Daniel Freeman
· 1
Chris Lu
· 1
Christian Schroeder de Witt
· 1
David Ha
· 1
Jakob Foerster
· 1
Jakub Grudzien Kuba
· 1
James Davidson
· 1
Julian Ibarz
· 1
Navdeep Jaitly
· 1
Topics
Value-Based
Offline RL
Model-Based RL
Exploration
Meta-RL
Policy Gradient