Results 11 to 20 of about 5,586 (174)
Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. [PDF]
Villar SS, Bowden J, Wason J.
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Learning the Truth in Social Networks Using Multi-Armed Bandit
This paper explains how agents in a social network can learn the arbitrary time-varying true state of the network. This is practical in social networks where information is released and updated without any coordination.
Olusola T. Odeyomi
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Beta Upper Confidence Bound Policy for the Design of Clinical Trials
The multi-armed bandit problem is a classic example of the exploration-exploitation trade-off well suited to model sequential resource allocation under uncertainty.
Andrii Dzhoha, Iryna Rozora
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In recent cross-disciplinary studies involving both optics and computing, single-photon-based decision-making has been demonstrated by utilizing the wave-particle duality of light to solve multi-armed bandit problems.
Takashi Amakasu +5 more
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The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits
The connection between optimal stopping times of American Options and multi-armed bandits is the subject of active research. This article investigates the effects of optional stopping in a particular class of multi-armed bandit experiments, which ...
Markus Loecher
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In systems with high penetration of renewables, demand side resources have been aggregated to facilitate system operation. However, the natural uncertainty and randomness of users' behaviour may deteriorate the demand aggregation performance, including a
Qinran Hu +5 more
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A generalised gittins index for a class of multi-armed bandits with general resource requirements [PDF]
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) divisible resource among the constituent bandits at each decision point.
Minty, John +3 more
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A Review of Multi-Armed Bandit Algorithms in Player Modeling and Game Design [PDF]
This paper explores the application of multi-armed bandit algorithms (MAB) in game design, focusing on player modeling and game optimization. The effectiveness of multi-armed bandit algorithms in modeling player characteristics such as skill level, play ...
Zhan Xizhi
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A multi-armed bandit approach for exploring partially observed networks
Background real-world networks such as social and communication networks are too large to be observed entirely. Such networks are often partially observed such that network size, network topology, and nodes of the original network are unknown.
Kaushalya Madhawa, Tsuyoshi Murata
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As the penetration of renewable energy continues to increase, stochastic and intermittent generation resources gradually replace the conventional generators, bringing significant challenges in stabilizing power system frequency.
Xinyi Chen +5 more
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