Abstract. We consider the issue of task assignment in a distributed system under heavy-tailed (ie. highly variable) workloads. A new adaptable approach called TAPTF (Task Assignmen...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Grid computing and cluster computing platforms are becoming the primary development platforms for pervasive computing. The primary problem associated with both computational grids...
Avinash Shankar, Daniel Saffioti, Ian Piper, Ashwi...
Flexible and dynamic environments are characterized by high independence from connection participants, low control over available services and high tolerance to communication fail...
This paper discusses the specifics of planning in multiagent environments. It presents the formal framework MAPL (“maple”) for describing multiagent planning domains. MAPL al...