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 ...
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, ...
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 ...
Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
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 ...
David Pardoe and Peter Stone.
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 ...
An Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs --- Final Report. Kara Kockelman, Stephen Boyles, Peter Stone, Dan Fagnant, Rahul Patel, Michael W. Levin, Guni Sharon, ...
Fall 2026 · Tue & Thu · The University of Texas at Austin · Instructor: Emmett Witchel ...
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 ...
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, ...
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