Skip to Main content Skip to Navigation
Conference papers

Asymptotically Optimal Strategies for Combinatorial Semi-Bandits in Polynomial Time

Abstract : We consider combinatorial semi-bandits with uncorrelated Gaussian rewards. In this article, we propose the first method, to the best of our knowledge, that enables to compute the solution of the Graves-Lai optimization problem in polynomial time for many combinatorial structures of interest. In turn, this immediately yields the first known approach to implement asymptotically optimal algorithms in polynomial time for combinatorial semi-bandits.
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03162140
Contributor : Thibaut Cuvelier <>
Submitted on : Monday, March 8, 2021 - 12:12:31 PM
Last modification on : Friday, March 12, 2021 - 3:23:33 AM

File

2102.07254.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03162140, version 1
  • ARXIV : 2102.07254

Collections

Citation

Thibaut Cuvelier, Richard Combes, Eric Gourdin. Asymptotically Optimal Strategies for Combinatorial Semi-Bandits in Polynomial Time. Algorithmic Learning Theory, Mar 2021, Paris, France. ⟨hal-03162140⟩

Share

Metrics

Record views

3

Files downloads

8