Department of Computer Science - University of Texas at Austin

Advancing Faster, More Reliable Cloud and Edge AI

As artificial intelligence workloads grow, the computing systems behind them must deliver faster, more reliable results while making better use of available hardware. Assistant Professor Daehyeok Kim ...
www.cs.utexas.edu

Qixing Huang and Collaborators Earn SIGGRAPH Asia Test-of-Time Award

A chair’s seat, an airplane’s wing, a lamp’s shade: people readily recognize these parts, but teaching computers to identify them requires carefully labeled examples. A research paper co-authored by ...
www.cs.utexas.edu

Multiagent Systems: A survey from a machine learning perspective

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 ...
www.cs.utexas.edu

William R. Cook

Programming languages, modeling languages, domain-specific languages, strategic programming, interfacing programming languages and databases, distributed computing and web services, software ...
www.cs.utexas.edu

David Zuckerman

please read FAQ before emailing me. Background image is the atrium of the Gates Dell Complex (GDC), which houses the Computer Science Department at UT Austin. David Zuckerman is a Professor and ...
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Transfer Learning for Reinforcement Learning Domains: A Survey

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
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Graduate Students

10/22/2025 - Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD students at nine universities who are pursuing research on core AI ...
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Ibrahim Volkan Isler

I am a professor in the Department of Computer Science at the University of Texas at Austin. I am also a core member of Texas Robotics. I currently hold the Rajaram Family Professorship. I have ...
www.cs.utexas.edu

Deep Reinforcement Learning in Parameterized Action Space

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, ...
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Mike Scott's Home Page

Mondays 6 - 8 pm and Wednesdays 8 - 10 am am in GDC 3.302, the main CS Department public computing lab. Find me at the CS314 high top.
www.cs.utexas.edu

CS311H Discrete Mathematics for Computer Science

Quiz Solutions Quiz 08 Solutions – Oct 30, 2026 Quiz 07 Solutions – Oct 23, 2026 Quiz 06 Solutions – Oct 16, 2026 Quiz 05 Solutions – Oct 9, 2026 ...
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Artificial Intelligence and Life in 2030

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