A computer program that uses AI planning techniques is now the world’s best program for the game of contract bridge. As reported in The New York Times and The Washington Post, t...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
The TAC 2003 supply-chain game presented automated trading agents with a challenging strategic problem. Embedded within a high-dimensional stochastic environment was a pivotal str...
Michael P. Wellman, Joshua Estelle, Satinder P. Si...
Teaching introductory programming today presents considerable challenges, which traditional techniques do not properly address. Students start with a wide variety of backgrounds a...
In pervasive computing environments, personal information is expressed in digital forms to a great extent. Daily activities and personal preferences may be easily associated with p...