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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...