www.cs.utexas.edu

Cybersecurity Concentration

As our daily lives increasingly depend on technology, the security and privacy of that technology becomes ever more important. Gain a critical understanding of the technological needs, threats, and ...
www.cs.utexas.edu

Artificial Intelligence and Life in 2030

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
www.cs.utexas.edu

Boosting for Regression Transfer

David Pardoe and Peter Stone.
www.cs.utexas.edu

Transfer Learning for Reinforcement Learning Domains: A Survey

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

Telemoma: A Modular and Versatile Teleoperation System for Mobile Manipulation

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 ...
www.cs.utexas.edu

Deep Recurrent Q-Learning for Partially Observable MDPs

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 ...
www.cs.utexas.edu

The right music at the right time: adaptive personalized playlists based on sequence modeling

The right music at the right time: adaptive personalized playlists based on sequence modeling. Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone. Management Information Systems ...
www.cs.utexas.edu

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Abstract Reinforcement learning (RL) is a popular paradigm for addressing sequential decision tasks in which the agent has only limited environmental feedback. Despite many advances over the past ...
www.cs.utexas.edu

Deep Reinforcement Learning in Parameterized Action Space

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, ...
www.cs.utexas.edu

The Three Golden Rules for Successful Scientific Research.

This note is devoted to three rules, the following of which is necessary if you want to be successful in scientific research. (If you manage to follow them, they will prove close to sufficient, but ...
www.cs.utexas.edu

On the reliability of programs.

All speakers of the lecture series have received very strict instructions as how to arrange their speech; as a result I expect all speeches to be similar to each other. Mine will not differ, I adhere ...
www.cs.utexas.edu

Brain Activity Decoder Can Reveal Stories in People’s Minds

Alex Huth (left), Shailee Jain (center) and Jerry Tang (right) prepare to collect brain activity data in the Biomedical Imaging Center at The University of Texas at Austin. The researchers trained ...