Welcome to GRACS. We are here to help CS grad students in any way we can. If you need information on degree requirements, research techniques, teaching tools, or things to do in Austin, then you've ...

Our students and faculty are changing the world through their contributions to computing education, research, and industry. These awards received by members of the UT Computer Science community make ...

Every year, we send four teams (each consisting of three students) to the tri-state South Central Regional. One team from UT Austin might advance to the North America Championship and the World Finals ...

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

Deep Recurrent Q-Learning for Partially Observable MDPs Deep Recurrent Q-Learning for Partially Observable MDPs. Matthew Hausknecht and Peter Stone. In AAAI Fall Symposium on Sequential Decision ...

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 ...

Content: This undergraduate course will cover the basics of algorithms and complexity, including dynamic programming, greedy algorithms, graph algorithms, linear programming, and NP-hardness.

Current approaches to learning cooperative multi-agent behaviors assumerelatively restrictive settings. In standard fully cooperative multi-agentreinforcement learning, the learning algorithm controls ...

@article{JAGI2020, author = {Peter Stone}, title = {A Broader, More Inclusive Definition of {AI}}, journal = {Journal of Artificial General Intelligence}, editor ...