Peer-to-Peer (P2P) technology is regarded as being disruptive for traditional fixed and mobile operators. However, it can also be considered as an opportunity for new ways of serv...
Wolfgang Kellerer, Zoran Despotovic, Maximilian Mi...
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
In many settings Web services are now perceived as the first choice technology to provide neatly encapsulated functionality for Web-based computation. To date, many standards hav...
Dominic Greenwood, Margaret Lyell, Ashok U. Mallya...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...