Aurick Zhou - Concepedia

Concepedia

Author

Aurick Zhou

University of California, Berkeley

Also Known As

Aurick Zhou, Zhou, Aurick

22

Publications

7.6K

Citations

12

H-Index

20

Concepts

All Affiliations

University of California, Berkeley Google (United States)

AZ

About

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

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	6.9K
2	Computer Science	9	9	6.9K
3	Data Science	4	4	988
4	Education	2	2	4K
5	Health Sciences	1	1	42

Aurick Zhou

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12

Publications

7.6K

Citations

12

H-Index

	Year	Citations
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDeep LearningDeep Reinforcement Learning	2018	3.5K
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDeep Reinforcement LearningTemperature Hyperparameter	2018	1.9K
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar, Aurick Zhou, George Tucker, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceOffline Rl	2020	534
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, International Conference on Machine Learning Artificial IntelligenceEngineeringMachine LearningDeep LearningDeep Reinforcement Learning	2018	477
Learning to Walk Via Deep Reinforcement Learning Tuomas Haarnoja, Sehoon Ha, Aurick Zhou,	2019	430
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly, Aurick Zhou, Deirdre Quillen, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceDeep Reinforcement	2019	227
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti, Rami Al‐Rfou, Aurick Zhou, Artificial IntelligenceMachine VisionMachine LearningData ScienceEngineering	2023	192
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic\n Context Variables Kate Rakelly, Aurick Zhou, Deirdre Quillen, arXiv (Cornell University)	2019	114
MotionLM: Multi-Agent Motion Forecasting as Language Modeling Ari Seff, Brian Cera, Dian Chen,	2023	71
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, arXiv (Cornell University) Artificial IntelligenceKinesiologyMachine LearningEngineeringDeep Reinforcement Learning	2018	42

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