Exploration by Optimisation in Partial Monitoring

Lattimore, Tor, Szepesvari, Csaba

arXiv.org Machine Learning 

We provide a simple and efficient algorithm for adversarial $k$-action $d$-outcome non-degenerate locally observable partial monitoring games for which the $n$-round minimax regret is bounded by $3(d+1) k^{3/2} \sqrt{8n \log(k)}$, matching the best known information-theoretic upper bounds.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found