Concepedia

Aurick Zhou

AZ

Statistics

Publications

12

Citations

7.6K

H-Index

12

Active since

2018

Affiliations

University of California, Berkeley(Current)

Google (United States)

Aurick Zhou is an author at University of California, Berkeley specializing in deep learning, computer science, and artificial intelligence.

Top concepts

EngineeringDeep LearningComputer ScienceMachine LearningArtificial IntelligenceRobot LearningData ScienceRoboticsEducationDecision-making

Publications per year

2018–2023

12

Publications

12

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel et al. · arXiv (Cornell University) · 2018 · 3.5K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +15

Soft Actor-Critic Algorithms and Applications

Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen et al. · arXiv (Cornell University) · 2018 · 1.9K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +13

Conservative Q-Learning for Offline Reinforcement Learning

Aviral Kumar, Aurick Zhou, George Tucker et al. · arXiv (Cornell University) · 2020 · 534 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +12

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel et al. · International Conference on Machine Learning · 2018 · 477 citations

Artificial Intelligence, Engineering, Machine Learning +15

Learning to Walk Via Deep Reinforcement Learning

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou et al. · 2019 · 430 citations · Full text

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