The Department of Computer Science at The University of Texas at Austin ranks No. 11 nationally among undergraduate programs ...
Professor David Zuckerman, Regents Chair in Computer Science at UT Austin, was awarded a fellowship at the Institute for Advanced Study (IAS) in the School of Mathematics for the 2026–27 academic year ...
Fast numerical and statistical algorithms Data mining and pattern recognition. Interdisciplinary application of mathematical and statistical methods across the physical and biological sciences, and to ...
Outplaying Elite Table Tennis Players with an Autonomous Robot. Peter Duerr, Mireille El Gheche, Guilherme Jorge Maeda, Nobuhiko Mukai, Naoya Takahashi, Stefan Heusser, Hamdi Sahloul, Yamen Saraiji, ...
Recent work has shown that deep neural networks are capable of approximating both value functions and policies in reinforcement learning domains featuring continuous state and action spaces. However, ...
David Pardoe and Peter Stone.
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
BibTeX Entry @InProceedings {SDMIA15-Hausknecht, author = {Matthew Hausknecht and Peter Stone}, title = {Deep Recurrent Q-Learning for Partially Observable MDPs}, booktitle = {AAAI Fall Symposium on ...
Building on the successful applications of Stackelberg Security Games (SSGs) to protect infrastructure, researchers have begun focusing on applying game theory to green security domains such as ...
Dr. Tecuci is interested in how deep domain expertise is acquired, represented, and used by intelligent systems and the role that memory plays in these processes.
The default delivery of this course is in person. Recordings of the lectures will be available via Lectures Online. If you are not able to make it to lecture or are feeling unwell, please watch the ...
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