Approachability, Fast and Slow
Abstract
Approachability has become a central tool in the analysis of repeated games and online learning. A player plays a repeated vector-valued game against Nature and her objective is to have her long-term average reward inside some target set. The celebrated results of Blackwell provide a 1/\sqrt{n} convergence rate of the expected point-to-set distance if this is achievable, i.e., if the set is approachable. In this paper we provide a characterization for the convergence rates of approachability and show that in some cases a set can be approached with a 1/n rate. Our characterization is solely based on a combination of geometric properties of the set with properties of the repeated game, and not on additional restrictive assumptions on Nature’s behavior.
Cite
Text
Perchet and Mannor. "Approachability, Fast and Slow." Annual Conference on Computational Learning Theory, 2013.Markdown
[Perchet and Mannor. "Approachability, Fast and Slow." Annual Conference on Computational Learning Theory, 2013.](https://mlanthology.org/colt/2013/perchet2013colt-approachability/)BibTeX
@inproceedings{perchet2013colt-approachability,
title = {{Approachability, Fast and Slow}},
author = {Perchet, Vianney and Mannor, Shie},
booktitle = {Annual Conference on Computational Learning Theory},
year = {2013},
pages = {474-488},
url = {https://mlanthology.org/colt/2013/perchet2013colt-approachability/}
}