Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
—Electronic Control Units (ECUs) are nowadays employed in automotives for discharging various functionalities within the vehicle. It has become the fundamental building block of ...
We describe work in progress on tools and infrastructure to support adaptive component-based software for mobile devices— in our case, Apple iPhones. Our high level aim is ‘de...
Malcolm Hall, Marek Bell, Alistair Morrison, Stuar...