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 ...

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, ...

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 ...

Cmodels is a system that computes answer sets for either disjunctive logic programs or logic programs containing choice rules. Answer set solver Cmodels uses SAT solvers as a search engine for ...

Fig.1 - Rectified flow learns neural ODEs with straight trajectories for both generating (up two rows) and transferring (lower two rows) data, with a very small number N of Euler steps (even a single ...

JavaDoc for Course Code All packages Vector-Space Retrieval Performance Evaluation Web Utilities Text Classifers Utilities Related Courses Information Retrieval Course at UMass Web Search and Mining ...

Some algorithms are more efficient than others. We would prefer to chose an efficient algorithm, so it would be nice to have metrics for comparing algorithm efficiency. The complexity of an algorithm ...

This program solves simple math and physics problems stated in English ...

Adam R. Klivans Professor of Computer Science, UT-AustinDirector, Director, Machine Learning Lab ...

B.S. in Computer Engineering, University of Illinois at Urbana/Champaign, 1983 M.S. in Computer Science, University of Illinois at Urbana/Champaign, 1985 See my invited talk at the EMNLP 2023 Big ...

Consistently ranked one of the nation's top computer science programs, UT Computer Science supplies the people and ideas shaping the digital frontier.