Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possiblyout-datedviews of activitiesof other agents and ...
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
One large and quite interesting family of MAS applications is characterized (1) by their large scale in terms of number of agents and physical distribution, (2) by their very dynam...
Nonprofit organizations often need to excel in coordinating with other organizations and must do so in a variety of contexts and levels from the informal to the formal. Their abil...
Jennifer Stoll, W. Keith Edwards, Elizabeth D. Myn...