Arm order recognition in multi-armed bandit problem with laser chaos time series. [PDF]
Sci Rep, 2021 Narisawa N +3 more
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Evaluation of performance: multi-armed bandit vs. contextual bandit [PDF]
Master of ScienceDepartment of Computer ScienceWilliam H. HsuThis work compares two methods, the multi-armed bandit (MAB) and contextual multi-armed bandit (CMAB), for action recommendation in a sequential decision making domain.
Chatterjee, Ranojoy
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Adaptive Sequence-Based Stimulus Selection in an ERP-Based Brain-Computer Interface by Thompson Sampling in a Multi-Armed Bandit Problem. [PDF]
Proceedings (IEEE Int Conf Bioinformatics Biomed), 2021 Ma T, Huggins JE, Kang J.
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Enhanced Dynamic Spectrum Access in UAV Wireless Networks for Post-Disaster Area Surveillance System: A Multi-Player Multi-Armed Bandit Approach. [PDF]
Sensors (Basel), 2021 Amrallah A +3 more
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Data from: Risk-aware multi-armed bandit problem with application to portfolio selection
, 2017 Sequential portfolio selection has attracted increasing interests in the machine learning and quantitative finance communities in recent years. As a mathematical framework for reinforcement learning policies, the stochastic multi-armed bandit problem ...
Huo, Xiaoguang, Fu, Feng
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Wi-Fi Assisted Contextual Multi-Armed Bandit for Neighbor Discovery and Selection in Millimeter Wave Device to Device Communications. [PDF]
Sensors (Basel), 2021 Hashima S +3 more
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RESTLESS BANDIT MARGINAL PRODUCTIVITY INDICES II: MULTIPROJECT CASE AND SCHEDULING A MULTICLASS MAKE-TO-ORDER/-STOCK M/G/1 QUEUE [PDF]
This paper develops a framework based on convex optimization and economic ideas to formulate and solve approximately a rich class of dynamic and stochastic resource allocation problems, fitting in a generic discrete-state multi-project restless bandit ...
José Niño-Mora
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Human behavior in contextual multi-armed bandit problems [PDF]
, 2015 In real-life decision environments people learn from their di-rect experience with alternative courses of action. Yet they can accelerate their learning by using functional knowledge about the features characterizing the alternatives. We designed a novel
Stojic, Hrvoje +5 more
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Multi-Armed Bandit Networks: Exploring Online Learning with Networks [PDF]
, 2018 Classical Multi-Armed Bandit solutions often assumes independent arms as a simplification of the problem. This has shown great results in many different fields of practice, but could in some cases, presumably leave untapped potential.
Hansen, Viktor
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Regret Lower Bounds in Multi-agent Multi-armed Bandit
, 2023 Multi-armed Bandit motivates methods with provable upper bounds on regret and also the counterpart lower bounds have been extensively studied in this context.
Klabjan, Diego, Xu, Mengfan
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