In a team-based multiagent system, the ability to construct a model of an opponent team's joint behavior can be useful for determining an agent's expected distribution o...
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
We demonstrate an end-to-end use case of the semantic web's utility for synthesizing ecological and environmental data. ELVIS (the Ecosystem Location Visualization and Inform...
Cynthia Sims Parr, Andriy Parafiynyk, Joel Sachs, ...
We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
David L. Roberts, Mark J. Nelson, Charles Lee Isbe...
We describe a number of efforts to engage university students with robotics through teaching and outreach. Teaching runs the gamut from undergraduate introductory computer science...
Elizabeth Sklar, Simon Parsons, M. Q. Azhar, Valer...