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

Patrick MacAlpine and Peter Stone.

Mobile Robot Planning using Action Language BC with an Abstraction Hierarchy. Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, and Peter Stone. In Proceedings of the 13th International Conference on ...

Grounded Action Transformation for Robot Learning in Simulation. Josiah Hanna and Peter Stone. @InProceedings{AAAI17-Hanna, author = {Josiah Hanna and Peter Stone}, title = {Grounded Action ...

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

The University of Texas at Austin has been selected to lead the NSF-Simons AI Institute for Cosmic Origins, a new $20 million ...

Artificial intelligence is very loosely regulated in the U.S. What kinds of laws would help make AI safer and more useful for ...

UT professor Shravan Narayan, in collaboration with researchers from UC San Diego, Purdue, Google, Intel, Fastly, and Rivos, were finalists for the Intel Hardware Security Academic Award. Their ...

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 ...

This is a two-semester research sequence. In the first semester (spring 2024), we covered the foundational knowledge you will need in astronomy, programming, and data science. You have been given ...