SOTAVerified

Multi-Armed Bandits

Multi-armed bandits refer to a task where a fixed amount of resources must be allocated between competing resources that maximizes expected gain. Typically these problems involve an exploration/exploitation trade-off.

( Image credit: Microsoft Research )

Papers

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Showing 1231–1240 of 1262 papers

TitleStatusHype
Human in the Loop Adaptive Optimization for Improved Time Series ForecastingCode0
Adversarial Attacks on Combinatorial Multi-Armed BanditsCode0
Machine Teaching of Active Sequential LearnersCode0
Doubly-Robust Lasso BanditCode0
A Survey of Online Experiment Design with the Stochastic Multi-Armed BanditCode0
Thompson Sampling via Local UncertaintyCode0
Identification of the Generalized Condorcet Winner in Multi-dueling BanditsCode0
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed BanditsCode0
Doubly Robust Policy Evaluation and LearningCode0
Dual-Mandate Patrols: Multi-Armed Bandits for Green SecurityCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NeuralLinear FullPosterior-MRCumulative regret1.92—Unverified
2Linear FullPosterior-MRCumulative regret1.82—Unverified