Researchers at The University of Texas at Austin and Cognizant AI Labs have developed an AI-driven system that leverages 175 ...

Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...

Patrick MacAlpine and Peter Stone.

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

Course web page: http://www.cs.utexas.edu/~ecprice/courses/randomized/fa23/ ...

Quick Index: [ A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | VWXYZ] If you are working on or know of related work not mentioned ...

Fall, 2025; TuTh 9:30-11:00 AM; GDC 5.302 (in-person, no Zoom option).

I'm an assistant professor in the Computer Science Department and the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. I was a PhD student at the ...

This paper investigates speciation in NEAT and its effect on NEAT's performance. Speciation is the set of processes by which NEAT creates, maintains and uses several disjoint groups of similar genomes ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...

It is a misnomer. As Edsger Dijkstra used to say "Computer Science is no more about computers than astronomy is about telescopes". Computer Science is closely related to mathematics. It is the study ...

As our daily lives increasingly depend on technology, the security and privacy of that technology becomes ever more important. Gain a critical understanding of the technological needs, threats, and ...