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 ...
David Soloveichik is an Associate Professor and holds the Temple Foundation Endowed Faculty Fellowship No.4 in the Chandra Family Department of Electrical & Computer Engineering at The University of ...
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 ...
Learning to Interpret Natural Language Commands through Human-Robot Dialog. Jesse Thomason, Shiqi Zhang, Raymond Mooney, and Peter Stone. In Proceedings of the 2015 International Joint Conference on ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
For course videos, feel free to listen at 1.25x or 1.5x, the Global Speed controller plugin for Chrome gives you even more control Creating a simple Android app in Kotlin Screen Video (older, screen ...
1/12 & 1/14 Introduction & PHY Layer Fundamentals (pdf) ...
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/ ...
Continual Learning and Private Unlearning. Bo Liu, Qiang Liu, and Peter Stone. @InProceedings{CoLLAs22-Liu, author = {Bo Liu and Qiang Liu and Peter Stone}, title = {Continual Learning and Private ...
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 ...
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 ...