Jie Tang
homepage: | http://www.eecs.berkeley.edu/~jietang/ |
search externally: | Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |
Description
I am currently a second year computer science Ph.D. student at UC Berkeley. My advisor is Pieter Abbeel. I am interested in applications of machine learning for robotics and control. Projects I have worked on include learning from demonstration for autonomous helicopter aerobatics and policy gradient methods for reinforcement learning. Please visit my publications page for more details. I graduated from Harvard University in Spring 2008 with a bachelor's in Computer Science and Economics. I worked with David Parkes on transitive trust mechanisms and accounting systems.
Lecture:
demonstration video On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient as author at Video Journal of Machine Learning Abstracts - Volume 1, 3520 views |