Department of Computer Science - University of Texas at Austin

Academy for Data Science Research

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...
www.cs.utexas.edu

CS 104c: Competitive Programming

Spring 2026: 52805 (59) 12 Jan - 27 Apr 2026 M 4 pm: RLP 0.128 https://gitlab.com/gpdowning-ut/cs104c/ https://www.cs.utexas.edu/~utpc/ ...
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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.
www.cs.utexas.edu

Telemoma: A Modular and Versatile Teleoperation System for Mobile Manipulation

A critical bottleneck limiting imitation learning in robotics is the lack ofdata. This problem is more severe in mobile manipulation, where collectingdemonstrations is harder than in stationary ...
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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 ...
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Reasoning about Hypothetical Agent Behaviours and their Parameters

Reasoning about Hypothetical Agent Behaviours and their Parameters. Stefano Albrecht and Peter Stone. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems ...
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Vision Calibration and Processing on a Humanoid Soccer Robot

In RoboCup, the problem of quickly and accurately processing visual data continues to pose a significant challenge. The Aldebaran Nao, currently used by the Standard Platform League, has two cameras ...
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A collective AI via lifelong learning and sharing at the edge

One vision of a future artificial intelligence (AI) is where many separate unitscan learn independently over a lifetime and share their knowledge with eachother. The synergy between lifelong learning ...
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Deep Recurrent Q-Learning for Partially Observable MDPs

Deep Recurrent Q-Learning for Partially Observable MDPs Deep Recurrent Q-Learning for Partially Observable MDPs. Matthew Hausknecht and Peter Stone. In AAAI Fall Symposium on Sequential Decision ...
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CS 388 Natural Language Processing

Chapters from the text and a few other readings will be assigned throughout the semester, and the reading should be done before the corresponding class. Copies of the class lecture slides (in ...
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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 ...
Department of Computer Science - University of Texas at Austin

6 Longhorns Elected to the National Academy of Engineering

Ken McMillan, a professor in the Department of Computer Science, was recently inducted into the National Academy of Engineering, one of the highest honors in the field. McMillan’s innovations in ...