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Research map / Bandits and online learning / Multi-armed bandits

Rotting Bandits

NeurIPS 2017 · Bandits and online learning › Multi-armed bandits · approach: Non-stationary and structured-reward bandits · 30 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use wSWA rather than UCB1Non-parametric Rotting Bandits · Non-parametric simulationend-of-horizon wins: 100 winsHelped
Use wSWA rather than DUCBNon-parametric Rotting Bandits · Non-parametric simulationend-of-horizon wins: 100 winsHelped
Use wSWA rather than SWUCBNon-parametric Rotting Bandits · Non-parametric simulationend-of-horizon wins: 100 winsHelped
Use CTO rather than UCB1Parametric asymptotically vanishing Rotting Bandits · Parametric AV simulationend-of-horizon wins: 100 winsHelped
Use CTO rather than DUCBParametric asymptotically vanishing Rotting Bandits · Parametric AV simulationend-of-horizon wins: 100 winsHelped
Use CTO rather than SWUCBParametric asymptotically vanishing Rotting Bandits · Parametric AV simulationend-of-horizon wins: 100 winsHelped
Use CTO rather than wSWAParametric asymptotically vanishing Rotting Bandits · Parametric AV simulationend-of-horizon wins: 100 winsHelped
Use D-CTO rather than UCB1Parametric asymptotically non-vanishing Rotting Bandits · Parametric ANV simulationend-of-horizon wins: 100 winsHelped
Use D-CTO rather than DUCBParametric asymptotically non-vanishing Rotting Bandits · Parametric ANV simulationend-of-horizon wins: 100 winsHelped
Use D-CTO rather than SWUCBParametric asymptotically non-vanishing Rotting Bandits · Parametric ANV simulationend-of-horizon wins: 100 winsHelped
Use D-CTO rather than wSWAParametric asymptotically non-vanishing Rotting Bandits · Parametric ANV simulationend-of-horizon wins: 66 winsHelped

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