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 1226–1250 of 1262 papers

TitleStatusHype
Generalized Risk-Aversion in Stochastic Multi-Armed Bandits—0
Resourceful Contextual Bandits—0
Algorithms for multi-armed bandit problems—0
Taming the Monster: A Fast and Simple Algorithm for Contextual BanditsCode0
Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits—0
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits—0
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation—0
Distributed Exploration in Multi-Armed Bandits—0
Generalized Thompson Sampling for Contextual Bandits—0
Multi-Armed Bandits for Intelligent Tutoring Systems—0
Sequential Monte Carlo Bandits—0
Finite-Time Analysis of Kernelised Contextual Bandits—0
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens—0
Distributed Online Learning via Cooperative Contextual Bandits—0
Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits—0
Towards Distribution-Free Multi-Armed Bandits with Combinatorial Strategies—0
From Bandits to Experts: A Tale of Domination and Independence—0
On Finding the Largest Mean Among Many—0
Concentration bounds for temporal difference learning with linear function approximation: The case of batch data and uniform sampling—0
A Gang of Bandits—0
Dynamic Ad Allocation: Bandits with Budgets—0
Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits—0
Hierarchical Optimistic Region Selection driven by Curiosity—0
Risk-Aversion in Multi-armed Bandits—0
Thompson Sampling for Contextual Bandits with Linear PayoffsCode0
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Benchmark Results

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