Roberto Martin-Martin is an Assistant Professor of Computer Science at UT Austin. His research bridges robotics, computer ...
To support the department’s leadership, Associate Professor Etienne Vouga has been appointed Vice Chair. Both Dillig and ...
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 ...
With the expertise gained from the Machine Learning and Artificial Intelligence Concentration, students will stand out from the crowd and be prepared to find a rewarding career in data mining, ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
Lectures from Fall 2022: August 23, 2022: Symbol, Binding, Tree Quotation, List Cons, Structure Sharing Structure Sharing, Changing Binding, Quotation August 25, 2022: first, rest, cons Example with ...
This schedule, and the links contained in it, are subject to change during the semester. Exam dates, however, are final. Reading assignments are generally from one of the required textbooks: the ...
Fall 2026 · Tue & Thu · The University of Texas at Austin · Instructor: Emmett Witchel ...
Recent work has shown that deep neural networks are capable of approximating both value functions and policies in reinforcement learning domains featuring continuous state and action spaces. However, ...
Task Factorization in Curriculum Learning. Reuth Mirsky, Shahaf S. Shperberg, Yulin Zhang, Zifan Xu, Yuqian Jiang, Jiaxun Cui, and Peter Stone. In ICML workshop on Decision Awareness in Reinforcement ...
BibTeX Entry @InProceedings {SDMIA15-Hausknecht, author = {Matthew Hausknecht and Peter Stone}, title = {Deep Recurrent Q-Learning for Partially Observable MDPs}, booktitle = {AAAI Fall Symposium on ...
Austin Robot Technology's (ART's) entry in the DARPA Urban Challenge has two main goals. First and foremost,the team aims to create a fully autonomous vehicle that is capable of safely and robustly ...
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