: We introduce infrastructure monitoring as an application domain that demands decentralized system designs. This is motivated by the large scale of these systems, the heterogeneit...
In partially observable worlds with many agents, nested beliefs are formed when agents simultaneously reason about the unknown state of the world and the beliefs of the other agen...
Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kael...
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Research on preference elicitation and reasoning typically focuses on preferences over single objects of interest. However, in a number of applications the "outcomes" of...
Ronen I. Brafman, Carmel Domshlak, Solomon Eyal Sh...
This paper describes an algorithm for detecting empty nodes in the Penn Treebank (Marcus et al., 1993), finding their antecedents, and assigning them function tags, without access...