Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
This paper describes a computational model for deriving a decomposition of objects from laser rangefinder data. The process aims to produce a set of parts defined by compactness a...
The paper introduces Self-Replicating Objects (SROs), a new nt programming abstraction. An SRO is implemented and used much like an ordinary .NET object and can expose arbitrary us...
Recent developments in the field of object-based fault tolerance and the advent of the first OMG FTCORBA compliant middleware raise new requirements for the design process of dist...
: In Bayesian identification an ID source is in conflict with the other ID sources, if both provide substantially different, reliable information on a tracked object. After discuss...