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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 1262 papers

Title	Date	Tasks	Status	Score
Contextual bandits with entropy-based human feedback	Feb 12, 2025	Multi-Armed Bandits	CodeCode Available	5
Confidence Intervals for Policy Evaluation in Adaptive Experiments	Nov 7, 2019	Experimental DesignMulti-Armed Bandits	CodeCode Available	5
Conditionally Risk-Averse Contextual Bandits	Oct 24, 2022	ManagementMulti-Armed Bandits	CodeCode Available	5
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting	Jun 18, 2020	Multi-Armed BanditsOff-policy evaluation	CodeCode Available	5
Contextual Bandits with Large Action Spaces: Made Practical	Jul 12, 2022	Decision MakingMulti-Armed Bandits	CodeCode Available	5
(Almost) Free Incentivized Exploration from Decentralized Learning Agents	Oct 27, 2021	Multi-Armed Bandits	CodeCode Available	5
Constrained regret minimization for multi-criterion multi-armed bandits	Jun 17, 2020	AttributeMulti-Armed Bandits	CodeCode Available	5
Adaptive Estimator Selection for Off-Policy Evaluation	Feb 18, 2020	Multi-Armed BanditsOff-policy evaluation	CodeCode Available	5
Corralling a Band of Bandit Algorithms	Dec 19, 2016	Multi-Armed Bandits	CodeCode Available	5
Adaptive Experimentation with Delayed Binary Feedback	Feb 2, 2022	Multi-Armed Banditsvalid	CodeCode Available	5
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces	Jul 12, 2022	continuous-controlContinuous Control	CodeCode Available	5
Doubly-Robust Lasso Bandit	Jul 26, 2019	Multi-Armed BanditsRecommendation Systems	CodeCode Available	5
A New Bandit Setting Balancing Information from State Evolution and Corrupted Context	Nov 16, 2020	Decision MakingEfficient Exploration	CodeCode Available	5
Scalable Exploration via Ensemble++	Jul 18, 2024	Computational EfficiencyDecision Making	CodeCode Available	5
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions	Dec 11, 2023	Multi-Armed BanditsOff-policy evaluation	CodeCode Available	5
Combinatorial Bandits under Strategic Manipulations	Feb 25, 2021	Multi-Armed BanditsRecommendation Systems	CodeCode Available	5
Adaptive Data Depth via Multi-Armed Bandits	Nov 8, 2022	Multi-Armed Bandits	CodeCode Available	5
Combinatorial Multi-armed Bandits for Resource Allocation	May 10, 2021	Multi-Armed Bandits	CodeCode Available	5
Adaptive Linear Estimating Equations	Jul 14, 2023	Multi-Armed Bandits	CodeCode Available	5
Causally Abstracted Multi-armed Bandits	Apr 26, 2024	Decision MakingMulti-Armed Bandits	CodeCode Available	5
A Convex Framework for Confounding Robust Inference	Sep 21, 2023	Model SelectionMulti-Armed Bandits	CodeCode Available	5
Bandit-Based Monte Carlo Optimization for Nearest Neighbors	May 21, 2018	ClusteringMulti-Armed Bandits	CodeCode Available	5
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits	Nov 9, 2023	Causal InferenceExperimental Design	CodeCode Available	5
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm	Nov 10, 2022	Decision MakingDecision Making Under Uncertainty	CodeCode Available	5
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback	Sep 4, 2019	Multi-Armed Bandits	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	NeuralLinear FullPosterior-MR	Cumulative regret	1.92	—	Unverified
2	Linear FullPosterior-MR	Cumulative regret	1.82	—	Unverified