Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. Kurt Dresner and Peter Stone. In The Third International Joint Conference on Autonomous Agents and Multiagent Systems ...

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 ...

To Teach or not to Teach? Decision Making Under Uncertainty in Ad Hoc Teams. Peter Stone and Sarit Kraus. In The Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), ...

I'm an assistant professor in the Computer Science Department and the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. I was a PhD student at the ...

Patrick MacAlpine and Peter Stone.

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

In his freshman year, Baade started his undergraduate research. Three years later, he published a paper introducing a new architecture for textless voice conversion. The model aims to convert a phrase ...

Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Working as a chemist in Houston, Danny Diaz spent a lot of time plodding his way ...

The 2024-2025 rankings tout undergraduate computer science at The University of Texas at Austin as among the ten best nationally. The UT Computer Science undergraduate program is recognized as a top ...

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

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 ...

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