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The Professor Who Wanted a Robot

IN BRIEF: Prof. Raymond J. Mooney is retiring after nearly 40 years as a leading AI figure at UT Austin. A prolific researcher, he published more than 200 papers and earned fellowships from the most ...
www.cs.utexas.edu

Matthew Lease

Dr. Lease investigates two principal research areas: information retrieval (IR) and crowdsourcing (human computation). His IR research develops new models and algorithms to improve search engine ...
www.cs.utexas.edu

DEFINE-PC-HELP

What (define-pc-help name args &rest body) really does is to create a call of define-pc-macro that defines name to take arguments args, to have the declarations indicated by all but the last form in ...
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3D Reconstruction and Understanding

This course will cover a broad range of topics in the general area of 3D Vision and 3D Geometry Processing, ranging from 1) reconstructing 3D models from images and depth scans, 2) 3D representations ...
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UT Computer Science Summer Academies

Discover a unique summer learning experience at our academies on the UT campus. Tailored for high school students entering grades 10–12, each program is taught by UT faculty and focuses on a ...
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Transfer Learning via Inter-Task Mappings for Temporal Difference Learning

Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Journal of Machine Learning Research, 8(1):2125–2167, 2007.
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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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The right music at the right time: adaptive personalized playlists based on sequence modeling

The right music at the right time: adaptive personalized playlists based on sequence modeling. Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone. Management Information Systems ...
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Deep Reinforcement Learning in Parameterized Action Space

Recent work has shown that deep neural networks are capable ofapproximating both value functions and policies in reinforcementlearning domains featuring continuous state and actionspaces. However, to ...
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Accelerating Search with Transferred Heuristics

Accelerating Search with Transferred Heuristics. Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. In ICAPS-07 workshop on AI Planning and Learning, September 2007.
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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 ...
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Installing BlueJ at Home

For more information on BlueJ visit the BlueJ homepage. You can also download the BlueJ tutorial and BlueJ reference manual. Instructions to install BlueJ. Adapted ...