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.

Hello? Is this thing on? Welcome to my page. I don't know why you're here. I hope it's not for anything malicious. If you work on the UTCS lab machines, please give us C++20 already, and update NPM, ...

Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD ...

Every year, we send four teams (each consisting of three students) to the tri-state South Central Regional. One team from UT Austin might advance to the North America Championship and the World Finals ...

In Lecture 2 we foreshadowed the need for a different style of semantics that could handle non-terminating programs. In Lecture 3 we started building some infrastructure that could deal with ...

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 ...

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

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 ...

Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, and Peter Stone. Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale ...

Write a parser for the Pascal language (as defined by Jensen and Wirth, 2nd ed.), producing intermediate code trees as output. Your parser does not have to handle the following Pascal constructs: with ...