This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
A common challenge in the development of web applications today lies in the handling of unforeseen navigation steps initiated by the user through the browser's Back, Forward ...
We consider the multilevel paradigm and its potential to aid the solution of combinatorial optimisation problems. The multilevel paradigm is a simple one, which at its most basic ...
Homeland defense applications will use large-scale ad-hoc networks of small devices. Routing is a crucial problem, for naive means do not scale well. Geographic Routing (GR) (Karp...
David M. Nicol, Michael E. Goldsby, Michael M. Joh...
We present a new conceptual abstraction in symmetry breaking – the GE-tree. The construction and traversal of a GE-tree breaks all symmetries in any constraint satisfaction or si...
Colva M. Roney-Dougal, Ian P. Gent, Tom Kelsey, St...