Department of Computer Science - University of Texas at Austin

On the Road to RoboCup 2026 with UT Austin Villa

PhD students Dongmyeong Lee and Zifan Xu prepare their child-sized humanoid robots before a match at RoboCup 2025 in Salvador ...
Department of Computer Science - University of Texas at Austin

Lili Qiu Wins SIGMOBILE Test-of-Time Award for Landmark Paper

Lili Qiu, professor of Computer Science and a leader in AI systems, wireless sensing, and real-world intelligence, was ...
www.cs.utexas.edu

Inside U.S. labs at a moment of fear—and unexpected promise

IFML director Adam Klivans and Postdoctoral Research Fellow Danny Diaz featured in Scientific American.
www.cs.utexas.edu

Transfer Learning for Reinforcement Learning Domains: A Survey

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
www.cs.utexas.edu

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Journal of Machine Learning Research, 8(1):2125–2167, 2007.
www.cs.utexas.edu

Telemoma: A Modular and Versatile Teleoperation System for Mobile Manipulation

A critical bottleneck limiting imitation learning in robotics is the lack of data. This problem is more severe in mobile manipulation, where collecting demonstrations is harder than in stationary ...
www.cs.utexas.edu

Joshua Baer

Joshua Baer is the founder of Capital Factory, a coworking community and accelerator designed to help startups find their first investors, customers and employees. Josh founded his first startup in ...
www.cs.utexas.edu

Deep Recurrent Q-Learning for Partially Observable MDPs

BibTeX Entry @InProceedings {SDMIA15-Hausknecht, author = {Matthew Hausknecht and Peter Stone}, title = {Deep Recurrent Q-Learning for Partially Observable MDPs}, booktitle = {AAAI Fall Symposium on ...
www.cs.utexas.edu

Inderjit S. Dhillon

Machine Learning, Data Mining, Numerical Linear Algebra, Numerical Optimization, Network Analysis, Bioinformatics My main research interests are in machine learning, large-scale data analysis and ...
www.cs.utexas.edu

David Zuckerman

please read FAQ before emailing me. Background image is the atrium of the Gates Dell Complex (GDC), which houses the Computer Science Department at UT Austin. David Zuckerman is a Professor and ...
www.cs.utexas.edu

Artificial Intelligence

AI addresses the challenges of machine cognition, spanning the theoretical and empirical across diverse subfields such as machine learning, computer vision, NLP and robotics.