Statistics
Publications
58
Citations
3.8K
H-Index
33
Active since
2013
Chi Jin is an author at University of California, Berkeley specializing in engineering, computer science, and machine learning.
Publications per year
2013–2023
58
58
Is Q-learning Provably Efficient?
Chi Jin, Zeyuan Allen-Zhu, Sébastien Bubeck et al. · arXiv (Cornell University) · 2018 · 337 citations · Full text
How to escape saddle points efficiently
Chi Jin, Rong Ge, Praneeth Netrapalli et al. · International Conference on Machine Learning · 2017 · 235 citations
Numerical Analysis, Mathematical Programming, Engineering +17
How to Escape Saddle Points Efficiently
Chi Jin, Rong Ge, Praneeth Netrapalli et al. · arXiv (Cornell University) · 2017 · 231 citations · Full text
Numerical Analysis, Mathematical Programming, Engineering +16
Provably Efficient Reinforcement Learning with Linear Function Approximation
Chi Jin, Zhuoran Yang, Zhaoran Wang et al. · arXiv (Cornell University) · 2019 · 219 citations · Full text
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