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Found 4 papers, 1 papers with code
Indexed Minimum Empirical Divergence for Unimodal Bandits
We consider a multi-armed bandit problem specified by a set of one-dimensional family exponential distributions endowed with a unimodal structure.
Stochastic bandits with groups of similar arms.
For this structured problem of practical relevance, we first derive the asymptotic regret lower bound and corresponding constrained optimization problem.
Optimal Strategies for Graph-Structured Bandits
[0, 1]^{\mathcal{A}\times\mathcal{B}}$ and by a given weight matrix $\omega\!=\!
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