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Karol Hausman — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Karol Hausman
29
papers ·
1373
citations ·
31
h-index
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Most-cited papers
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
2019 · 282 citations
Gradient Surgery for Multi-Task Learning
2020 · 108 citations
Dynamics-Aware Unsupervised Discovery of Skills
2019 · 75 citations
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
2021 · 35 citations
Jump-Start Reinforcement Learning
2022 · 17 citations
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
2023 · 16 citations
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
2019 · 12 citations
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
2020 · 10 citations
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
2020 · 9 citations
How to Leverage Unlabeled Data in Offline Reinforcement Learning
2022 · 5 citations
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
2021 · 3 citations
Autonomous Reinforcement Learning: Formalism and Benchmarking
2021 · 3 citations
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
2021 · 1 citations
Offline Reinforcement Learning at Multiple Frequencies
2022 · 1 citations
$π^*_0.6$: a VLA That Learns From Experience
2025
Top co-authors
Sergey Levine
· 15
Chelsea Finn
· 12
Tianhe Yu
· 6
Yevgen Chebotar
· 5
Archit Sharma
· 4
Abhishek Gupta
· 3
Aviral Kumar
· 3
Dmitry Kalashnikov
· 3
Vikash Kumar
· 3
Yao Lu
· 3
Alexander Herzog
· 2
Alex Irpan
· 2
Topics
Meta-RL
Offline RL
Exploration
Value-Based
Model-Based RL
Multi-Agent
Policy Gradient
Safe RL