E. Allen Emerson, a beloved and long-serving member of the faculty in Computer Science at UT Austin and a renowned Computer ...
Instead of the traditional double-major route, which often requires juggling separate degree plans, X+CS combines two fields ...
UT Austin’s Scott Aaronson and his former postdoctoral researcher, Shih-Han Hung, played a key role in demonstrating the ...
Prerequisites: Graduate standing or consent of instructor. Many students find this course difficult, so a first-rate math background is highly recommended. See the Review Sheet for material you're ...
Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
In reinforcement learning (RL), a reward function that aligns exactly with a task's true performance metric is often sparse. For example, a true task metric might encode a reward of 1 upon success and ...
Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. Nate Kohl and Peter Stone.
The goal of this study is to explore which aspects of people’s analytical decision making are affected when ex- posed to music. To this end, we apply a stochastic sequen- tial model of simple ...
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 ...
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