I am an Assistant Professor of Instruction in the Department of Computer Science and a Research Fellow in the Science of High Performance Computing Group at the Oden Institute of Computational ...

Matthew worked on a joint project with Chris Bush on neuroevolution in role-playing games. After graduating, he went on to work as a software engineer for IBM.

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

The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for transfer learning ...

Patrick MacAlpine and Peter Stone.

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...

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 ...

Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...

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

RoboCup-2012: Robot Soccer World Cup XVI, Xiaoping Chen, Peter Stone, Luis Enrique Sucar, and Tijn van der Zant, editors. Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2013.

Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to the behaviors of ...

Scalable Multiagent Driving Policies For Reducing Traffic Congestion. Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone. In Proceedings of the 20th International ...