Aurick Zhou

7 papers and 275 indexed citations i.

Aurick Zhou is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Aurick Zhou has authored 7 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Aurick Zhou’s work include Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Aurick Zhou is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Aurick Zhou collaborates with scholars based in United States. Aurick Zhou's co-authors include Sergey Levine, Tuomas Haarnoja, Pieter Abbeel, Murtaza Dalal, Vitchyr H. Pong, Chelsea Finn, Kate Rakelly, Deirdre Quillen, Rami Al‐Rfou and Aviral Kumar and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Neural Information Processing Systems.