Applying Monte Carlo Search and Monte Carlo Tree Search on Embedded Systems to Play Connect Four with a Robotic Arm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-04870-8_17
Reference9 articles.
1. Allis, V.: A knowledge-based approach of connect-four. ICGA J. 11(4), 165 (1988). https://doi.org/10.3233/ICG-1988-11410
2. Browne, C.B., et al.: A Survey of monte Carlo tree search methods. IEEE Trans. Comput. Intell. AI in Games 4(1), 1–43 (2012). https://doi.org/10.1109/TCIAIG.2012.2186810
3. Chaslot, G., et al.: Monte-Carlo tree search: a new framework for game AI. In: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, California (2008). https://doi.org/10.5555/3022539.3022579
4. Chaslot, G.M.J.B., et al.: Progressive strategies for Monte-Carlo tree search. New Math. Nat. Comput. 4(3), 343–357 (2008). https://doi.org/10.1142/S1793005708001094
5. Clune, J.: Heuristic evaluation functions for general game playing. In: AAAI, pp. 1134–1139 (2007). https://doi.org/10.5555/1619797.1619828
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