1. Pfeiffer, M.: Reinforcement learning of strategies for Settlers of Catan. In: Mehdi, Q., Gough, N., Natkin, S., Al-Dabass, D. (eds.) 5th international conference on computer games: artificial intelligence, design and education, pp. 384–388 (2004)
2. Lecture Notes in Computer Science;I Szita,2010
3. Winder, R.K.: Methods for approximating value functions for the Dominion card game. Evol. Intell. 6(4), 195–204 (2013)
4. Chaslot, G.M.J.P., Saito, J.-T., Bouzy, B., Uiterwijk, J.W.H.M., Van Den Herik, H.J.: Monte-Carlo strategies for computer Go. In: Proceedings of the 18th BeNeLux Conference on Artificial Intelligence, Namur, Belgium, pp. 83–91 (2006)
5. Lecture Notes in Computer Science;A Hauptman,2005