https://neurips.cc/virtual/2020/public/poster_607bc9ebe4abfcd65181bfbef6252830.html
NeurIPS 2020 : Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
multi armed bandits
https://deepai.org/publication/diversity-driven-selection-of-exploration-strategies-in-multi-armed-bandits
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits | DeepAI
Aug 23, 2018 - 08/23/18 - We consider a scenario where an agent has multiple available strategies to explore an unknown environment. For each new interactio...
multi armed banditsdiversitydrivenselectionexploration
https://deepai.org/publication/risk-averse-non-stationary-multi-armed-bandits
Risk averse non-stationary multi-armed bandits | DeepAI
Sep 28, 2021 - 09/28/21 - This paper tackles the risk averse multi-armed bandits problem when incurred losses are non-stationary. The conditional value-at-r...
multi armed banditsrisk aversenon stationarydeepai
https://www.kth.se/en/eecs/kalender/efficient-learning-in-graphs-and-in-combinatorial-multi-armed-bandits-1.1368559?date=2024-12-06&orgdate=2024-05-16&length=1&orglength=230
Efficient Learning in Graphs and in Combinatorial Multi-Armed Bandits | KTH
multi armed banditsefficientlearninggraphscombinatorial
https://www.amazon.science/tag/multi-armed-bandits?p=2
Multi-armed bandits - Amazon Science
multi armed banditsamazonscience
https://openreview.net/forum?id=0BfQT652sC
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk |...
We consider the stochastic multi-armed bandit problem and fully characterize the interplays among three desired properties for policy design: worst-case...
multi armed bandits
https://www.adyen.com/knowledge-hub/rescuing-failed-subscription-payments-using-contextual-multi-armed-bandits
Rescuing failed subscription payments using contextual multi-armed bandits - Adyen
multi armed banditssubscription paymentsrescuingfailedusing
https://openreview.net/forum?id=tbeLou0v9M
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits | OpenReview
Regret minimization in streaming multi-armed bandits (MABs) has been studied extensively, and recent work has shown that algorithms with $o(K)$ memory have to...
multi armed banditssingle passtightregretbounds
https://deepai.org/publication/quantum-exploration-algorithms-for-multi-armed-bandits
Quantum exploration algorithms for multi-armed bandits | DeepAI
Jul 14, 2020 - 07/14/20 - Identifying the best arm of a multi-armed bandit is a central problem in bandit optimization. We study a quantum computational ver...
multi armed banditsquantumexplorationalgorithmsdeepai
https://amplitude.com/blog/multi-armed-bandit-vs-ab-testing
Multi-Armed Bandits vs. A/B Testing: Choosing the Right Approach
Explore the nuances of multi-armed bandits vs. traditional experiments and choose the best testing strategy for your digital products.
multi armed banditsthe rightvs
https://aclanthology.org/E17-1039/
Efficient Benchmarking of NLP APIs using Multi-armed Bandits - ACL Anthology
Gholamreza Haffari, Tuan Dung Tran, Mark Carman. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics:...
multi armed banditsefficientbenchmarkingnlpapis
https://openreview.net/forum?id=3YTjTQhX8B
Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits |...
Experimentation with interference poses a significant challenge in contemporary online platforms. Prior research on experimentation with interference has...
multi armed banditscausal inferenceinterferencebridgingadversarial
https://www.adyen.com/en_GB/knowledge-hub/contextual-multi-armed-bandits
Rescuing failed subscription payments using contextual multi-armed bandits - Adyen
multi armed banditssubscription paymentsrescuingfailedusing
https://research.google/pubs/scalable-decision-focused-learning-in-restless-multi-armed-bandits-with-application-to-maternal-and-child-care/
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and...
https://arxiv.org/abs/1206.3582
[1206.3582] Decentralized Learning for Multi-player Multi-armed Bandits
Abstract page for arXiv paper 1206.3582: Decentralized Learning for Multi-player Multi-armed Bandits
learning formulti player12063582decentralized