In the past five years, Isler headed research for Samsung AI Center in New York, where he helped develop AI robots for ...

Keyframe Sampling, Optimization, and Behavior Integration: Towards Long-Distance Kicking in the RoboCup 3D Simulation League. Mike Depinet, Patrick MacAlpine, and Peter Stone. In Reinaldo A. C.

Bilevel optimization (BO) is useful for solving a variety of important machine learning problems including but not limited to hyperparameter optimization, meta-learning, continual learning, and ...

While great strides have been made in multiagent teamwork, existing approaches typically assume extensive information exists about teammates and how to coordinate actions. This paper addresses how ...

1) How (and How Not) to Write a Good Systems Paper (Levin and Redell, SIGOPS OSR, 1983) ...

Hey I am Anubhav, a Masters in Computer Science student at the University of Texas at Austin, where I am working as a GRA under Prof. Haris Vikalo. I love studying Deep Learning techniques, understand ...

There will be five projects for this class, each emphasizing a different set of important skills. You will begin by writing a shell. Your other projects will exercise your knowledge of threads, user ...

In many learning tasks, there is a large supply of unlabeled data but insufficient labeled data since it can be expensive to generate. Semi-supervised learning combines labeled and unlabeled data ...

UT Austin is celebrating 100 years of quantum science, highlighting its impact on computing, clean energy, and medicine.

David J. Wu, an assistant professor of computer science, is one of six faculty members from the University of Texas at Austin ...