GPU for Monte Carlo Search
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44505-7_13
Reference35 articles.
1. Bouzy, B.: Monte-Carlo fork search for cooperative path-finding. In: Computer Games Workshop at IJCAI, pp. 1–15 (2013)
2. Bouzy, B.: Burnt pancake problem: new lower bounds on the diameter and new experimental optimality ratios. In: SOCS, pp. 119–120 (2016)
3. Brodtkorb, A., Hagen, T., Schulz, C., Hasle, G.: GPU computing in discrete optimization. Part I: Introduction to the GPU. EURO J. Transp. Logist. 2 (2013). https://doi.org/10.1007/s13676-013-0025-1
4. Browne, C., et al.: A survey of Monte Carlo tree search methods. IEEE Trans. Comput. Intell. AI Games 4(1), 1–43 (2012). https://doi.org/10.1109/TCIAIG.2012.2186810
5. Buber, E., Banu, D.: Performance analysis and CPU vs GPU comparison for deep learning. In: 2018 6th International Conference on Control Engineering & Information Technology (CEIT), pp. 1–6. IEEE (2018)
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