Explore upcoming talks and events hosted by the Department of Computer Science at the University of Texas at Austin.
Fall 2026: 55450 (47), 55455 (56) 24 Aug - 7 Dec 2026 MWF 10 am & 11 am: RLP 1.106 https://gitlab.com/gpdowning-ut/cs373/ https://www.cs.utexas.edu/~utpc/ ...
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 ...
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.
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
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.
Multiagent Systems: A survey from a machine learning perspective. Peter Stone and Manuela Veloso. Autonomous Robots, 8(3):345–383, July 2000. @Article(MASsurvey, Author="Peter Stone and Manuela Veloso ...
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 ...
The Department of Computer Science at The University of Texas at Austin ranks No. 11 nationally among undergraduate programs ...
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