E. Allen Emerson has a longstanding interest in formal methods for establishing program correctness. This was inspired in part by reading in the mid-1970's a CACM paper by Tony Hoare "Proof of Program ...
My research interests are in the area of machine learning for speech, language, and sound processing. I am particularly interested in multimodality and unsupervised ...
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 ...
Mina Huh, a computer science Ph.D. student at UT Austin, has been awarded a Google Ph.D. Fellowship, the company announced on ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
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.
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 ...
Two Stock-Trading Agents: Market Making and Technical Analysis. Yi Feng, Ronggang Yu, and Peter Stone. In Peyman Faratin, David C. Parkes, Juan A. Rodriguez-Aguilar, and William E. Walsh, editors, ...
I am an Associate Professor of Instruction in the Department of Computer Science.
This is a section from the last essay written by Isaiah Berlin, published in the New York Review of Books, Vol. XLV, Number 8 (1998). Copyright: The Isaiah Berlin ...
Traditional methods of collecting translation and paraphrase data can be prohibitively expensive, making construction of large, new corpora difficult. While crowdsourcing offers a cheap alternative, ...