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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1076–1100 of 1262 papers

TitleStatusHype
Contextual Bandits with Cross-learning—0
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed BanditsCode0
Multi-Player Bandits: A Trekking Approach—0
Machine Teaching of Active Sequential LearnersCode0
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits—0
Data Poisoning Attacks in Contextual Bandits—0
Correlated Multi-armed Bandits with a Latent Random SourceCode0
Nonparametric Gaussian Mixture Models for the Multi-Armed BanditCode0
On-line Adaptative Curriculum Learning for GANsCode0
Preference-based Online Learning with Dueling Bandits: A Survey—0
Deep Contextual Multi-armed Bandits—0
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits—0
Linear Bandits with Stochastic Delayed Feedback—0
Multi-User Multi-Armed Bandits for Uncoordinated Spectrum Access—0
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems—0
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms—0
Greybox fuzzing as a contextual bandits problem—0
Mitigating Bias in Adaptive Data Gathering via Differential Privacy—0
Finding the bandit in a graph: Sequential search-and-stop—0
A General Framework for Bandit Problems Beyond Cumulative Objectives—0
The Externalities of Exploration and How Data Diversity Helps Exploitation—0
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic ProgrammingCode0
Learning Contextual Bandits in a Non-stationary EnvironmentCode0
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits—0
Bandit-Based Monte Carlo Optimization for Nearest NeighborsCode0
Show:102550
← PrevPage 44 of 51Next →

Benchmark Results

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