The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
This paper presents some of the key techniques for reaching agreements in multi-agent environments. It discusses game-theory and economics based techniques: strategic negotiation, ...
Abstract. This paper presents a framework for monitoring component interactions. It is part of a larger component framework built on top of the CORBA distributed processing environ...
Nikolay K. Diakov, Harold J. Batteram, Hans Zandbe...
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
We present two heuristics based on constraint technology that solve the problem of generating air traffic management contingency plans, which are used in the case of a catastrophic...
Karl Sundequist Blomdahl, Pierre Flener, Justin Pe...