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 ...
Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
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 ...
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 ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
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 ...
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/ ...
Frequently in life you'll need to convert from one unit to another: feet to meters, hours to seconds, degrees to radians, etc. Often, the conversion simply involves a simple conversion factor, meaning ...
Kristen Grauman, Ph.D., a professor in the Department of Computer Science, was awarded the prestigious 2026 Hill Prize in ...
Every year, we send four teams (each consisting of three students) to the tri-state South Central Regional. One team from UT Austin might advance to the North America Championship and the World Finals ...