Emma Brunskill
Assistant Professor of Computer Science
Program Affiliations
-
Symbolic Systems Program
2019-20 Courses
- Reinforcement Learning
CS 234 (Win) -
Independent Studies (10)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr, Sum) - Advanced Reading and Research
CS 499P (Aut, Win, Spr, Sum) - Curricular Practical Training
CS 390A (Aut, Win, Sum) - Curricular Practical Training
CS 390B (Aut, Win, Spr, Sum) - Independent Project
CS 399 (Aut, Win, Spr) - Independent Project
CS 399P (Win) - Independent Work
CS 199 (Aut, Win, Spr) - Independent Work
CS 199P (Aut, Win, Spr, Sum) - Part-time Curricular Practical Training
CS 390D (Win, Spr) - Writing Intensive Senior Project (WIM)
CS 191W (Win, Spr)
- Advanced Reading and Research
-
Prior Year Courses
2018-19 Courses
- Advanced Survey of Reinforcement Learning
CS 332 (Aut) - Reinforcement Learning
CS 234 (Win)
2017-18 Courses
- Advanced Survey of Reinforcement Learning
CS 332 (Aut) - Reinforcement Learning
CS 234 (Win)
2016-17 Courses
- Reinforcement Learning
CS 234 (Spr)
- Advanced Survey of Reinforcement Learning
Stanford Advisees
-
Doctoral Dissertation Reader (AC)
Erdem Biyik, Sandeep Chinchali, Vikranth Dwaracherla, James Harrison, De-An Huang, Carolyn Kim, Xiuyuan Lu, Francis Yan, Andrea Zanette -
Doctoral Dissertation Advisor (AC)
Ramtin Keramati, Tong Mu -
Master's Program Advisor
Susanna Maria Baby, Kaidi Cao, Victoria Ding, Christian Gabor, Minnie Ho, Xiaomeng Jin, Vera Lin, James Liu, Kelly Ndombe, Misbah Surani, Christina Yuan -
Doctoral Dissertation Co-Advisor (AC)
Jean-Raymond Betterton, Scott Fleming, Xinkun Nie -
Doctoral (Program)
Yao Liu