To support the department’s leadership, Associate Professor Etienne Vouga has been appointed Vice Chair. Both Dillig and ...

Since formalizing as a student organization, Longhorn Developers has grown to a Discord community of roughly 900 members and ...

I am an Associate Professor of Instruction in the Department of Computer Science.

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 ...

In modern systems, concurrency and parallelism are no longer niche areas reserved for specialists and experts, but a cross-cutting concern to which all designers and developers are exposed. The ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

A critical bottleneck limiting imitation learning in robotics is the lack of data. This problem is more severe in mobile manipulation, where collecting demonstrations is harder than in stationary ...

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, ...

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 ...

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, ...

David Pardoe and Peter Stone.

Ryan develops methods for certifying when an automated decision can be trusted. He also co-leads Dynamic Belief Games, a U.S. Army-funded program building reinforcement-learning agents that keep ...