Results 31 to 40 of about 33,931 (272)
Scientific Reports, 2021 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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Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Federated multi-armed bandits (FMAB) is a new bandit paradigm that parallels the federated learning (FL) framework in supervised learning. It is inspired by practical applications in cognitive radio and recommender systems, and enjoys features that are analogous to FL.
Shi, Chengshuai, Shen, Cong
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The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits
Frontiers in Artificial Intelligence, 2021 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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IET Energy Systems Integration, 2021 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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Gambling in a rigged casino: The adversarial multi-armed bandit problem
Proceedings of IEEE 36th Annual Foundations of Computer Science, 1995 In the multi-armed bandit problem, a gambler must decide which arm of K non-identical slot machines to play in a sequence of trials so as to maximize his reward.
P. Auer +3 more
semanticscholar +1 more source
Achieving Fairness in the Stochastic Multi-armed Bandit Problem [PDF]
AAAI Conference on Artificial Intelligence, 2019 We study an interesting variant of the stochastic multi-armed bandit problem, called the Fair-SMAB problem, where each arm is required to be pulled for at least a given fraction of the total available rounds. We investigate the interplay between learning
Vishakha Patil +3 more
semanticscholar +1 more source
A Review of Multi-Armed Bandit Algorithms in Player Modeling and Game Design [PDF]
ITM Web of ConferencesThis 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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Sustainable Cooperative Coevolution with a Multi-Armed Bandit [PDF]
, 2013 This paper proposes a self-adaptation mechanism to manage the resources allocated to the different species comprising a cooperative coevolutionary algorithm.
De Rainville, François-Michel +4 more
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A multi-armed bandit approach for exploring partially observed networks
Applied Network Science, 2019 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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IEEE Access, 2021 Computer experiments are widely used to mimic expensive physical processes as black-box functions. A typical challenge of expensive computer experiments is to find the set of inputs that produce the desired response.
Rajitha Meka +5 more
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