E. Allen Emerson, a beloved and long-serving member of the faculty in Computer Science at UT Austin and a renowned Computer ...

Computing Across Disciplines is a three-part series that explores the interdisciplinary programs at UT that are shaping the ...

UT Austin’s Scott Aaronson and his former postdoctoral researcher, Shih-Han Hung, played a key role in demonstrating the ...

David Pardoe and Peter Stone.

Assistant Professor Yuke Zhu has been named one of five IEEE’s Early Career Award winners for “groundbreaking contributions” ...

Classically, imitation learning algorithms have been developed for idealized situations, e.g., the demonstrations are often required to be collected in the exact same environment and usually include ...

Omeed Tehrani always dreamed of becoming a doctor. He had always wanted to positively impact the people around him. His ...

UT Austin and Tec de Monterrey have established the OriGen Health Research Center to leverage Latin America’s largest biobank ...

Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...

Current version of system Cmodels is 3.86.1. Starting version 3.81 of Cmodels, the system supports incremental answer set solving. (One may add constraints to a program on the fly.) The interface for ...

TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots. Todd Hester and Peter Stone. Machine Learning, 90(3):385–429, 2013.

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Journal of Machine Learning Research, 8(1):2125–2167, 2007.