The multi-agent resource allocation problem is the negotiation of a set of resources among a population of agents, in order to maximize a social welfare function. The purpose of th...
Antoine Nongaillard, Philippe Mathieu, Brigitte Ja...
An accurate, tractable, analytic cache model for time-shared systems is presented, which estimates the overall cache missrate of a multiprocessing system with any cache size and t...
Quality-of-service (QoS) routing satisfiesapplication performance requirements and optimizes network resource usage but effective path-selection schemes require the distribution o...
In this paper, we develop our previous outline of a multi-agent architecture for regulated information exchange in crime investigations. Interactions about information exchange be...
Pieter Dijkstra, Henry Prakken, Kees de Vey Mestda...
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...