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

Baade received his first undergraduate research opportunity after cold-emailing a professor on the advice of a Sophomore ...

Scalable Multiagent Driving Policies For Reducing Traffic Congestion. Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone. In Proceedings of the 20th International ...

Deep Proteins researchers draw on lessons from many disciplines, for example, to develop an AI technique called EvoRank that ...

UT Computer Science ranks No. 10 nationally, tied with the California Institute of Technology and the University of Michigan.

UT has been competing since 1997. UT went to the 2016-17 41st World Finals in South Dakota, the 2017-18 42nd World Finals in ...

In reinforcement learning (RL), a reward function that aligns exactly with a task's true performance metric is often sparse. For example, a true task metric might encode a reward of 1 upon success and ...

The job of building computer networks that train and run large AI models is becoming increasingly complicated because ...

The International Conference on Theory and Applications of Satisfiability Testing (SAT) is the premier annual meeting for researchers focusing on the theory and applications of the propositional ...

We provide a unified framework for the high-dimensional analysis of “superposition-structured” or “dirty” statistical models: where the model parameters are a ...

This program solves simple math and physics problems stated in English.