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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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2 results for “DEXP3.M”

Unknown Delay for Adversarial Bandit Setting with Multiple Playcs.LG

Proposes DEXP3.M for unknown delay in multi-arm bandit with multiple play.

problem Unknown delays in adversarial multi-armed bandit with multiple play.

method DEXP3.M algorithm addressing the challenge of associating feedback losses to arms.

result Regret bound is only slightly worse than single play setting.

Adversarial Bandit Multiple Play Unknown Delay DEXP3.M Regret Bound

2020-10-01abs ↗pdf ↗

Bandit Online Learning with Unknown Delayscs.LG

This paper deals with bandit online learning problems involving feedback of unknown delay that can emerge in multi-armed bandit (MAB) and bandit convex optimization (BCO) settings. MAB and BCO require only values of the objective function involved that become available through feedback, and are used to estimate the gra…

2018-07-09abs ↗pdf ↗