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 ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
Advanced Operating Systems ...
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 ...
Accelerating Search with Transferred Heuristics. Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. In ICAPS-07 workshop on AI Planning and Learning, September 2007.
Elliott Hauser, Yao-Cheng Chan, Geethika Hemkumar, Daksh Dua, Parth Chonkar, Efren Mendoza Enriquez, Tiffany Kao, Shikhar Gupta, Huihai Wang, Justin Hart, Reuth Mirsky, Joydeep Biswas, Junfeng Jiao, ...
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 ...
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 ...
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/ ...
Big.Bend.Arts.Council Cliff Cavin ...
Spring 2026: 53375 (58), 53380 (58) 12 Jan - 27 Apr 2026 MWF 10 am & 11 am: RLP 1.106 https://gitlab.com/gpdowning-ut/cs373/ https://www.cs.utexas.edu/~utpc/ ...
This note is devoted to three rules, the following of which is necessary if you want to be successful in scientific research. (If you manage to follow them, they will prove close to sufficient, but ...
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