58
Publications
3.8K
Citations
33
H-Index
2013
Active since
Chi Jin is an author at University of California, Berkeley specializing in engineering, computer science, and machine learning.
Top concepts
EngineeringComputer ScienceMachine LearningArtificial IntelligenceApproximation TheoryRobot LearningMathematical ProgrammingConvex OptimizationInverse ProblemsNumerical Analysis
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
Rows per page
1–5 of 58