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Sergey Levine — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sergey Levine
505
papers ·
29684
citations ·
113
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2017 · 5797 citations
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
2018 · 3503 citations
Soft Actor-Critic Algorithms and Applications
2018 · 1963 citations
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
2018 · 575 citations
Reinforcement Learning with Deep Energy-Based Policies
2017 · 434 citations
Model-Based Reinforcement Learning for Atari
2019 · 421 citations
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
2018 · 379 citations
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
2016 · 370 citations
Continuous Deep Q-Learning with Model-based Acceleration
2016 · 337 citations
Data-Efficient Hierarchical Reinforcement Learning
2018 · 265 citations
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
2018 · 265 citations
Modular Multitask Reinforcement Learning with Policy Sketches
2016 · 229 citations
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
2017 · 227 citations
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
2019 · 227 citations
End-to-End Robotic Reinforcement Learning without Reward Engineering
2019 · 208 citations
Top co-authors
Chelsea Finn
· 49
Aviral Kumar
· 44
Pieter Abbeel
· 38
Karol Hausman
· 15
George Tucker
· 12
Qiyang Li
· 11
Ruslan Salakhutdinov
· 11
Avi Singh
· 9
Ofir Nachum
· 9
Tianhe Yu
· 9
Anca Dragan
· 8
Archit Sharma
· 8
Topics
Model-Based RL
Value-Based
Exploration
Offline RL
Policy Gradient
Meta-RL
cs.LG
cs.AI
RLHF & Alignment
Safe RL