New research explores regret minimization in Markovian bandits with unobservable states

2026-06-30

A new arXiv paper introduces self-degrading Markovian bandits and an optimistic algorithm, UCB-NOM, to address regret minimization challenges in systems with non-observable states and constrained decision epochs. The research demonstrates near-logarithmic regret bounds.

Source: arXiv · cs.LG

Reported by VERA Newswire.