Name
Abstract | ||
|---|---|---|
In this paper we consider the problem of best-arm identification in multi-armed bandits in the fixed confidence setting, where the goal is to identify, with probability $1-\delta $ for some $\delta >0$ , the arm with the highest mean reward in minimum possible samples from the set of arms $\mathcal {K}$ . Most existing best-arm identification algorithms and analyses operate under the assumptio... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAIT.2021.3082028 | IEEE Journal on Selected Areas in Information Theory |
Keywords | DocType | Volume |
Correlation,Upper bound,Complexity theory,Sports,Information theory,Drugs,Context modeling | Journal | 2 |
Issue | ISSN | Citations |
2 | IEEE Journal on Selected Areas in Information Theory (Volume: 2,
Issue: 2, June 2021) | 1 |
PageRank | References | Authors |
0.39 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samarth Gupta | 1 | 13 | 5.60 |
| Gauri Joshi | 2 | 308 | 29.70 |
| Osman Yağan | 3 | 1 | 0.39 |