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Nathan Ratliff — most-cited papers & profile · Reinforcement Learning
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overview
Nathan Ratliff
6
papers ·
20
citations ·
27
h-index
Google Scholar ↗
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Most-cited papers
RMP2: A Structured Composable Policy Class for Robot Learning
2021 · 3 citations
Predictor-Corrector Policy Optimization
2018 · 1 citations
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning
2020
Top co-authors
Byron Boots
· 2
Ching-An Cheng
· 2
Animesh Garg
· 1
Anqi Li
· 1
Carlos Florensa
· 1
Dieter Fox
· 1
Fabio Ramos
· 1
Jonathan Tremblay
· 1
Karl Van Wyk
· 1
Man Xie
· 1
M. Asif Rana
· 1
Michelle A. Lee
· 1
Topics
Policy Gradient
Model-Based RL
Exploration
Safe RL