Nan Jiang

For More Information

• Personal website

Education

• PhD, Computer Science and Engineering, University of Michigan, 2017
• Bachelor of Engineering, Automation, Tsinghua University, 2011

Research Interests

• Reinforcement Learning

Monographs

• Reinforcement Learning: Theory and Algorithms (working draft)

Journal Editorships

• Action Editor for Journal of Machine Learning Research (JMLR) since 2024
• Editor for Foundations and Trends in Machine Learning (FnT ML) since 2023

Teaching Honors

• Teachers Ranked as Excellent (Excellent), course: CS443 (Spring 2023)
• Teachers Ranked as Excellent (Excellent), course: CS542 (Fall 2022)
• Engineering Council Outstanding Advisor Award (03/2022)
• Teachers Ranked as Excellent (Excellent), course: CS498 (Spring 2021)
• Teachers Ranked as Excellent (Excellent), course: CS542 (Fall 2021)
• Teachers Ranked as Excellent (Outstanding), course: CS598 (Fall 2020)
• Teachers Ranked as Excellent (Excellent), course: CS598 (Spring 2019)
• Teachers Ranked as Excellent (Excellent), course: CS598 (Fall 2018)

Research Honors

• Google Research Scholar Award (03/2024)
• Sloan Research Fellowship (02/2024)
• ICML 2022 Outstanding Paper Runner Up (07/2022)
• NSF CAREER Award (03/2022)
• AAMAS 2015 Best Paper Award (05/2015)

Recent Courses Taught

• CS 443 (CS 498 RL1, CS 498 RL2, CS 498 RL3, CS 498 RL4) - Reinforcement Learning
• CS 542 - Stat Reinforcement Learning
• CS 598 NJ - Stat Reinforcement lrng
• CS 598 NJ - Statistical Reinforcement