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Danny Driess — most-cited papers & profile · Reinforcement Learning

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Danny Driess

33 papers · 1063 citations

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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

Allen Z. Ren · 1 Ashwin Balakrishna · 1 Brian Ichter · 1 Chelsea Finn · 1 Karol Hausman · 1 Lili Yu · 1 Pete Florence · 1 Quan Vuong · 1 Sergey Levine · 1 Suraj Nair · 1 Yao Lu · 1 Yunhao Fang · 1

Topics

Model-Based RL cs.LG cs.RO Policy Gradient Value-Based