The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
The Distributed Constraint Optimization Problem (DCOP) is a fundamental formalism for multi-agent cooperation. A dedicated framework called Resource Constrained DCOP (RCDCOP) has ...
Toshihiro Matsui, Marius Silaghi, Katsutoshi Hiray...
This paper describes an agent-based platform for the allocation of loads in distributed transportation logistics, developed as a collaboration between CWI, Dutch National Center f...
Usability evaluation methods have a long history of research. Latest contributions significantly raised the validity of method evaluation studies. But there is still a measurement...
A data warehouse is a redundant collection of data replicated from several possibly distributed and loosely coupled source databases, organized to answer OLAP queries. Relational ...