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Exploration by Optimisation in Partial Monitoring

Annual Conference Computational Learning Theory (COLT), 2019
Abstract

We provide a simple and efficient algorithm for adversarial kk-action dd-outcome non-degenerate locally observable partial monitoring games for which the nn-round minimax regret is bounded by 3(d+1)k3/28nlog(k)3(d+1) k^{3/2} \sqrt{8n \log(k)}, matching the best known information-theoretic upper bounds.

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