A Neural Network that Learns to Play Five-in-a-Row

Authors:
Bernd Freisleben
Affiliations:
-
Venue:
ANNES '95 Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems
Year:
1995

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Abstract

In this paper a neural network that learns to play the board game of five-in-a-row is presented. The basic idea of the approach is to let an appropriately designed network play a series of games against an opponent and use a reinforcement learning algorithm to train the network to evaluate the non-occupied board positions by rewarding good moves and penalizing bad moves. The performance of the proposed network is demonstrated by presenting experimental results.