UT Computer Science Ranked No. 9 Nationally, Top 10 in AI and Theory in U.S. News & World Report Rankings ...

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

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 ...

A list of research labs and contact information for job hunters (thanks to Jian Yin).

1 Why Am I Taking This Course?

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 ...

Deep Recurrent Q-Learning for Partially Observable MDPs Deep Recurrent Q-Learning for Partially Observable MDPs. Matthew Hausknecht and Peter Stone. In AAAI Fall Symposium on Sequential Decision ...

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 ...

Programming Contests at UT is a chapter of the ICPC: International Collegiate Programming Contest. The International Collegiate Programming Contest is an algorithmic programming contest for college ...