Expert Iteration for Risk

Author:

Heredia Lucas Gnecco,Cazenave Tristan

Publisher

Springer International Publishing

Reference31 articles.

1. Anthony, T., Tian, Z., Barber, D.: Thinking fast and slow with deep learning and tree search. arXiv preprint arXiv:1705.08439 (2017)

2. Anthony, T.W.: Expert iteration. Ph.D. thesis, UCL (University College London) (2021)

3. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2), 235–256 (2002)

4. Blomqvist, E.: Playing the game of risk with an alphazero agent (2020)

5. Browne, C.B., et al.: A survey of monte carlo tree search methods. IEEE Trans. Comput. Intell. AI Games 4(1), 1–43 (2012)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Evolutionary Tabletop Game Design: A Case Study in the Risk Game;Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment;2023-11-06

2. Artificial Intelligence with Graph Neural Networks Applied to a Risk-like Board Game;IEEE Transactions on Games;2023

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