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

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.

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 ...

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.

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 ...

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

Lectures from Spring 2025 January 14, 2025: Trees; Symbol and Binding; let REPL; Clojure Examples let, cons, Structure Sharing first, rest January 16, 2025: Quotation; cons Rules for cons, first, rest ...

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 ...

Humanoid Robots Learning to Walk Faster: From the Real World to Simulation and Back. Alon Farchy, Samuel Barrett, Patrick MacAlpine, and Peter Stone. In Proc. of 12th Int. Conf. on Autonomous Agents ...

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 ...

Fall 2025: 55085 (55), 55090 (54) 25 Aug - 8 Dec 2025 MWF 10 am & 11 am: RLP 1.106 https://gitlab.com/gpdowning-ut/cs373/ ...

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 ...