Now in its second year, the Dijkstra Scholars Program is a transformational initiative designed to dismantle barriers to a ...
Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...
Coding in the Classroom is an outreach initiative in which members of the UT Computer Science community teach coding in local ...
Check that your degree profile shows "Pursuing" for the Programming and Computation Certificate. If your status isn’t updated, email: cs-certificate@austin.utexas.edu with your name and EID after your ...
As a computer science major, you can study abroad and earn credit toward electives or other degree requirements without missing a step in your academic journey. Through Texas Global, you’ll find ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
Lecture-based course in the fall semester that features prominent entrepreneurs telling the stories of how they founded their companies and answering questions from the students. Students get to pitch ...
A critical bottleneck limiting imitation learning in robotics is the lack ofdata. This problem is more severe in mobile manipulation, where collectingdemonstrations is harder than in stationary ...
One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...
Your graduate experience spans the academic, social and professional. Together with peers and faculty, you’ll explore new ideas, exchange insights and build connections that inspire curiosity, ...
Simulation is often used in research and industry as a low cost, high efficiency alternative to real model testing. Simulation has also been used to develop and test powerful learning algorithms.
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