Case-Based Sample Generation Using Multi-Armed Bandits

Author:

Korger Andreas,Baumeister Joachim

Publisher

Springer Nature Switzerland

Reference29 articles.

1. International Atomic Energy Association. https://www.iaea.org

2. Alon, N., Cesa-Bianchi, N., Gentile, C., Mannor, S., Mansour, Y., Shamir, O.: Nonstochastic multi-armed bandits with graph-structured feedback. SIAM J. Comput. 46, 1785–1826 (2014)

3. Auer, P.: Using confidence bounds for exploitation-exploration trade-offs. J. Mach. Learn. Res. 3, 397–422 (2002)

4. Auer, P., Cesa-Bianchi, N., Freund, Y., Schapire, R.: The nonstochastic multiarmed bandit problem. SIAM J. Comput. 32, 48–77 (2003)

5. Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction from the web. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence, IJCAI 2007, pp. 2670–2676. Morgan Kaufmann Publishers Inc., San Francisco (2007)

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