Full Information Game with Gains and Losses

Author:

Allenberg-Neeman Chamy,Neeman Benny

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Allenberg, C.: Individual sequence prediction - upper bounds and applications to complexity. In: Proceedings of the 12th Annual Conference on Computer Learning Theory (1999)

2. Allenberg, C., Auer, P., Cesa-Bianchi, N.: On the loss version of the adversarial multi-armed bandit problem (to appear)

3. Auer, P., Cesa-Bianchi, N., Freund, Y., Schapire, R.E.: Gambling in a rigged casino: The adversarial multi-armed bandit problem. In: Proceedings of the 36th Annual Symposium on Foundation of Computer Science (1995)

4. Auer, P., Cesa-Bianchi, N., Gentile, C.: Adaptive and Self-Confidence On-line Learning Algorithms. JCSS 64(1), 48–75 (2002)

5. Cesa-Bianchi, N., Freund, Y., Helmbold, D.P., Haussler, D., Schapire, R.E., Warmuth, M.K.: How to use expert advice. In: Proceedings of the Twenty-Fifth Annual ACM Symposium on the Theory of Computing, pp. 382–391 (1993)

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