Big news from UTCS: With renewed funding from the National Science Foundation, IFML researchers are expanding their work to make AI more accurate, reliable, and ready for the real world. This critical ...

Ph.D. Dissertation. FLAME Working Note #6, The University of Texas at Austin, Department of Computer Sciences. Technical Report TR-2001-44. Nov. 2001. (Supervised by Robert van de Geijn ...

Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin ...

I am an Associate Professor of Instruction in the Department of Computer Science. I did my undergraduate work at Purdue and Illinois and my graduate work at MIT, Stanford, and Texas. I have worked at ...

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, ...

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

Kim’s NSF CAREER Award builds on a growing portfolio of federal and industry support, including a 2024 NSF NeTS grant ...

Qixing Huang is an associate professor of Computer Science at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford University. He was a research assistant professor ...