Patrick MacAlpine and Peter Stone.

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 ...

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 following functions that operate on trees should be recursive. Some useful functions that you may need are provided in the file cs378.clj, and you will need some of your functions from the ...

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 ...

The International Conference on Theory and Applications of Satisfiability Testing (SAT) is the premier annual meeting for researchers focusing on the theory and applications of the propositional ...

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

My research seeks to enable networked systems to support the next generation of applications. My past work has spanned internet congestion control, video streaming, privacy-preserving computation, ...

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions.The lack of action information both ...

Course web page: http://www.cs.utexas.edu/~ecprice/courses/randomized/fa23/ ...

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 ...