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UT Austin Villa: Project-Driven Research in AI and Robotics
UT Austin Villa is a robot soccer team that has competed in the annual RoboCup soccer competitions since 2003. The team has won several championships and has inspired research contributions spanning ...
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Department of Computer Science
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 ...
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The Hustle Spotlights UT's Online Master's in Artificial Intelligence Program’s Impact in AI Education
In a recent feature by The Hustle, the Master of Science in Artificial Intelligence (MSAI) program at CDSO is praised for addressing the supply-demand gap for AI professionals through its innovative ...
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Etienne Vouga Earns Regents’ Recognition for Outstanding Teaching
UT Computer Science Associate Professor Etienne Vouga has earned a 2024 Regents’ Outstanding Teaching Award for demonstrating extraordinary classroom performance and innovative teaching. Vouga is one ...
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Generative Visual Computing
This is an intro course in image and video generative models. It is intended for upper-level undergraduate students. Visual generative models is an active field that deals with representations and ...
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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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TAMER: Training an Agent Manually via Evaluative Reinforcement
Though computers have surpassed humans at many tasks, especially computationally intensive ones, there are many tasks for which human expertise remains necessary and/or useful. For such tasks, it is ...
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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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Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
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 ...
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TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots
TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots. Todd Hester and Peter Stone. Machine Learning, 90(3):385–429, 2013.
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Instance-Based Action Models for Fast Action Planning
Instance-Based Action Models for Fast Action Planning. Mazda Ahmadi and Peter Stone. In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup-2007: Robot Soccer World Cup ...