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

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

I am an Associate Professor of Instruction in the Department of Computer Science.

CS 323E (Spring 2026) Actual Class Notes Lecture Notes on 12 Jan 2026 Lecture Notes on 21 Jan 2026 ...

Abstract Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of ...

UT Programming Contests (UTPC) teams delivered a standout performance at the International Collegiate Programming Contest (ICPC) South Central Regional Competition on November 8, 2025. All four UT ...

Fig.2 - Rectified flow between π 0 (magenta contour) and π 1 (red contour). Green and blue lines are the trajectories colored based on which mode of π 0 they are associated with for visualization.

Some algorithms are more efficient than others. We would prefer to chose an efficient algorithm, so it would be nice to have metrics for comparing algorithm efficiency. The complexity of an algorithm ...

Prof. Peter Stone is a luminary in the Department of Computer Science, where he has been a faculty member for 23 years. Over the course of his tenure, he has been a firsthand witness to the rapid ...

Big news from UTCS: With renewed funding from the National Science Foundation, IFML researchers are expanding their work to make AI more accurate, reliable, and ready for the real world. This critical ...

Ken McMillan, a professor in the Department of Computer Science, was recently inducted into the National Academy of Engineering, one of the highest honors in the field. McMillan’s innovations in ...

Researchers at The University of Texas at Austin and Cognizant AI Lab have developed an AI-driven system that leverages 175 years of global land use and carbon storage data to generate optimal ...