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RESEARCH · CL_312844 · Oct 21 · 04:00

New research explores near-optimal regret bounds for bandit algorithms

Two new research papers published on arXiv explore advancements in multi-armed bandit algorithms. The first paper introduces a novel analysis of KL-UCB, achieving a near-optimal regret bound for KL-regularized multi-arm…