The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Pure Exploration in Multi-armed Bandits Problems
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Convergence of Probability Measures
Billingsley, P. (1999) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316962 · Cited by 13,910
Probability Inequalities for sums of Bounded Random Variables
Hoeffding, W. (1994) · Springer Series in Statistics · doi:10.1007/978-1-4612-0865-5_26 · Cited by 6,666
Finite-time Analysis of the Multiarmed Bandit Problem
Auer, P., Cesa-Bianchi, N., & Fischer, P. (2002) · Machine Learning · doi:10.1023/a:1013689704352 · Cited by 6,033
Bandit Based Monte-Carlo Planning
Kocsis, L., & Szepesvári, C. (2006) · Lecture Notes in Computer Science · doi:10.1007/11871842_29 · Cited by 2,855
Asymptotically efficient adaptive allocation rules
Lai, T. L., & Robbins, H. (1985) · Advances in Applied Mathematics · doi:10.1016/0196-8858(85)90002-8 · Cited by 2,406
(2002) · doi:10.1137/s0097539701398375 · Cited by 2,275
Some aspects of the sequential design of experiments
Robbins, H. (1952) · Bulletin of the American Mathematical Society · doi:10.1090/s0002-9904-1952-09620-8 · Cited by 2,184
On the method of bounded differences
McDiarmid, C. (1989) · Surveys in Combinatorics, 1989 · doi:10.1017/cbo9781107359949.008 · Cited by 1,425
Combinatorial Methods in Density Estimation
Devroye, L., & Lugosi, G. (2001) · Springer series in statistics · doi:10.1007/978-1-4613-0125-7 · Cited by 694
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Mannor, S., & Tsitsiklis, J. N. (2004) · doi:10.5555/1005332.1005355 · Cited by 307
Cited by
A Survey of Exploration Methods in Reinforcement Learning
Amin, S., Gomrokchi, M., Satija, H., van Hoof, H., & Precup, D. (2021) · arXiv · doi:10.48550/arxiv.2109.00157 · Cited by 41
Liu, Y., Zhou, P., Yang, L., Wu, Y., Xu, Z., Liu, K., & Wang, X. (2022) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2021.3085964 · Cited by 37
Metadata
- Authors
- Bubeck, S., Munos, R., & Stoltz, G.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- Pages
- 23-37
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1881419322
- Cited by
- 362
- References
- 15
- FWCI
- 25.44
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pure Exploration in Multi-armed Bandits Problems. https://app.cochat.ai/papers/10.1007/978-3-642-04414-4_7
- The paper
- Bubeck, S., Munos, R., & Stoltz, G. (2009). Pure Exploration in Multi-armed Bandits Problems. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-04414-4_7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.