Beschreibung
This paper investigates the use of n-tuple systems as position value functions for the game
of Othello. The architecture is described, and then evaluated for use with temporal difference
learning. Performance is compared with previously de-veloped weighted piece counters and
multi-layer perceptrons. The n-tuple system is able to defeat the best performing of these
after just five hundred games of self-play learning. The conclusion is that n-tuple networks
learn faster and better than the other more conventional approaches.