Towards Human-Level Performance in Solving Double Dummy Bridge Problem

Author:

Kowalik SzymonORCID,Mańdziuk JacekORCID

Publisher

Springer International Publishing

Reference21 articles.

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2. Bouzy, B., Rimbaud, A., Ventos, V.: Recursive Monte Carlo search for bridge card play. In: 2020 IEEE Conference on Games (CoG), pp. 229–236 (2020)

3. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996)

4. Ginsberg, M.L.: Library of double-dummy results. http://www.cirl.uoregon.edu/ginsberg/gibresearch.html

5. Ginsberg, M.L.: Partition search. In: Shrobe, H., Senator, T. (eds.) Proceedings of the Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference, vol. 2. pp. 228–233. AAAI Press, Menlo Park (1996)

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1. An improved deep Q-Network algorithm for the prediction of non-competitive bidding in Bridge Game;Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things;2024-05-24

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