Concepedia

Justin Fu

JF

Statistics

Publications

21

Citations

2.3K

H-Index

19

Active since

2015

Affiliations

University of California, Berkeley(Current)

Google (United States)

Nomor Research (Germany)

Berkeley College

Justin Fu is an author at University of California, Berkeley specializing in engineering, machine learning, and robot learning.

Top concepts

EngineeringArtificial IntelligenceRobot LearningComputer ScienceMachine LearningData ScienceAutonomous LearningDeep LearningCognitive ScienceIntelligent Systems

Publications per year

2015–2023

21

Publications

21

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Sergey Levine, Aviral Kumar, George Tucker et al. · arXiv (Cornell University) · 2020 · 789 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Justin Fu, Aviral Kumar, Ofir Nachum et al. · arXiv (Cornell University) · 2020 · 329 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Aviral Kumar, Justin Fu, George Tucker et al. · arXiv (Cornell University) · 2019 · 234 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +15

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Aviral Kumar, Justin Fu, Matthew Soh et al. · arXiv (Cornell University) · 2019 · 174 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +14

One-shot learning of manipulation skills with online dynamics adaptation and neural network priors

Justin Fu, Sergey Levine, Pieter Abbeel · 2016 · 133 citations

Artificial Intelligence, Engineering, Machine Learning +20

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