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Danny Driess — most-cited papers & profile · Reinforcement Learning
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Danny Driess
14
papers ·
655
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reinforcement Learning with Neural Radiance Fields
2022 · 15 citations
$π^*_0.6$: a VLA That Learns From Experience
2025
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
2021
Top co-authors
Ingmar Schubert
· 2
Marc Toussaint
· 2
Adnan Esmail
· 1
Adrian Li-Bell
· 1
Alex Swerdlow
· 1
Ali Amin
· 1
Allen Z. Ren
· 1
Anna Walling
· 1
Ashwin Balakrishna
· 1
Ben Katz
· 1
Blake Williams
· 1
Brian Ichter
· 1
Topics
Model-Based RL
Offline RL
Meta-RL
Policy Gradient
Value-Based