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Sergey Levine — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sergey Levine
366
papers ·
29254
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 · 1967 citations
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
2020 · 796 citations
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
2018 · 575 citations
Conservative Q-Learning for Offline Reinforcement Learning
2020 · 537 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
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
2020 · 332 citations
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
2019 · 282 citations
Data-Efficient Hierarchical Reinforcement Learning
2018 · 265 citations
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
2018 · 265 citations
Top co-authors
Chelsea Finn
· 47
Aviral Kumar
· 44
Pieter Abbeel
· 34
Benjamin Eysenbach
· 31
Abhishek Gupta
· 23
Karol Hausman
· 15
Dibya Ghosh
· 14
Justin Fu
· 14
Seohong Park
· 14
Glen Berseth
· 13
Ashvin Nair
· 12
George Tucker
· 12
Topics
Model-Based RL
Value-Based
Offline RL
Exploration
Meta-RL
Policy Gradient
Safe RL
Multi-Agent
RLHF & Alignment
Game AI