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Matt Hoffman — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Matt Hoffman
7
papers ·
33
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
2019 · 24 citations
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
2020 · 9 citations
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
2022
An Empirical Study of Implicit Regularization in Deep Offline RL
2022
Top co-authors
Caglar Gulcehre
· 3
Bobak Shahriari
· 2
Tom Le Paine
· 2
Ziyu Wang
· 2
Abe Friesen
· 1
Arnaud Doucet
· 1
Cosmin Paduraru
· 1
George Tucker
· 1
Jakub Sygnowski
· 1
Jerry Li
· 1
Mehrdad Farajtabar
· 1
Nicolas Heess
· 1
Topics
Offline RL
Value-Based
Exploration
Game AI
Model-Based RL
Policy Gradient