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 76–100 of 1262 papers

Title	Date	Tasks	Status	Score
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting	Jun 18, 2020	Multi-Armed BanditsOff-policy evaluation	CodeCode Available	5
Confidence Intervals for Policy Evaluation in Adaptive Experiments	Nov 7, 2019	Experimental DesignMulti-Armed Bandits	CodeCode Available	5
Constrained regret minimization for multi-criterion multi-armed bandits	Jun 17, 2020	AttributeMulti-Armed Bandits	CodeCode Available	5
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces	Jul 12, 2022	continuous-controlContinuous Control	CodeCode Available	5
Correlated Multi-armed Bandits with a Latent Random Source	Aug 17, 2018	Multi-Armed Bandits	CodeCode Available	5
(Almost) Free Incentivized Exploration from Decentralized Learning Agents	Oct 27, 2021	Multi-Armed Bandits	CodeCode Available	5
Contextual bandits with entropy-based human feedback	Feb 12, 2025	Multi-Armed Bandits	CodeCode Available	5
Adaptive Estimator Selection for Off-Policy Evaluation	Feb 18, 2020	Multi-Armed BanditsOff-policy evaluation	CodeCode Available	5
Doubly Robust Policy Evaluation and Learning	Mar 23, 2011	Decision MakingMulti-Armed Bandits	CodeCode Available	5
Adaptive Experimentation with Delayed Binary Feedback	Feb 2, 2022	Multi-Armed Banditsvalid	CodeCode Available	5
Contextual Bandits with Stochastic Experts	Feb 23, 2018	Multi-Armed Bandits	CodeCode Available	5
Combinatorial Multi-armed Bandits for Resource Allocation	May 10, 2021	Multi-Armed Bandits	CodeCode Available	5
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach	Aug 21, 2023	Decision MakingMulti-Armed Bandits	CodeCode Available	5
Adaptive Data Depth via Multi-Armed Bandits	Nov 8, 2022	Multi-Armed Bandits	CodeCode Available	5
Decentralized Cooperative Stochastic Bandits	Oct 10, 2018	Multi-Armed Bandits	CodeCode Available	5
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents	Aug 6, 2024	Multi-Armed BanditsSensitivity	CodeCode Available	5
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback	Sep 4, 2019	Multi-Armed Bandits	CodeCode Available	5
Adaptive Linear Estimating Equations	Jul 14, 2023	Multi-Armed Bandits	CodeCode Available	5
A Convex Framework for Confounding Robust Inference	Sep 21, 2023	Model SelectionMulti-Armed Bandits	CodeCode Available	5
Combinatorial Bandits under Strategic Manipulations	Feb 25, 2021	Multi-Armed BanditsRecommendation Systems	CodeCode Available	5
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks	Mar 9, 2023	Decision MakingMulti-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
Cascading Bandits for Large-Scale Recommendation Problems	Mar 17, 2016	Multi-Armed BanditsRecommendation Systems	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