Results 21 to 30 of about 18,568,643 (214)
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2015 The problem of optimal control in a random environment (also known as the two- armed bandit problem) is considered. The equations for calculating Bayes risks and losses are obtained for incomes with different variances.
Aleksey Lazutchenko
doaj +1 more source
Structure learning in human sequential decision-making. [PDF]
PLoS Computational Biology, 2010 Studies of sequential decision-making in humans frequently find suboptimal performance relative to an ideal actor that has perfect knowledge of the model of how rewards and events are generated in the environment.
Daniel E Acuña, Paul Schrater
doaj +1 more source
Differential Privacy in Social Networks Using Multi-Armed Bandit
IEEE Access, 2022 There has been an exponential growth over the years in the number of users connected to social networks. This has spurred research interest in social networks to ensure the privacy of users. From a theoretical standpoint, a social network is modeled as a
Olusola T. Odeyomi
doaj +1 more source
Minimax Normal Two-Armed Bandit with Indefinite Control Horizon
ITM Web of Conferences, 2017 We consider the two-armed bandit problem as applied to data processing if there are two alternative processing methods available with different a priori unknown efficiencies.
Kolnogorov Alexander
doaj +1 more source
Modelling Cournot Games as Multi-agent Multi-armed Bandits
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 We investigate the use of a multi-agent multi-armed bandit (MA-MAB) setting for modeling repeated Cournot oligopoly games, where the firms acting as agents choose from the set of arms representing production quantity (a discrete value).
Kshitija Taywade +3 more
doaj +1 more source
Comparison of Video Recommendation Effects of Etc, Ucb, and Thompson Sampling Algorithms on Short-Video Platforms [PDF]
ITM Web of ConferencesThis paper comprehensively compares the performance of three multi-armed bandit (MAB) algorithms, Epsilon-Then-Commit (ETC), upper confidence bound (UCB), and Thompson sampling (TS), for video recommendation in dynamic environments.
Li Shouchuan
doaj +1 more source
IEEE Open Journal of the Communications Society, 2022 Full-duplex relaying is an enabling technique of sixth generation (6G) mobile networks, promising tremendous rate and spectral efficiency gains. In order to improve the performance of full-duplex communications, power control is a viable way of avoiding ...
Nikolaos Nomikos +3 more
doaj +1 more source
Epsilon–First Policies for Budget–Limited Multi-Armed Bandits
, 2010 We introduce the budget–limited multi–armed bandit (MAB), which captures situations where a learner’s actions are costly and constrained by a fixed budget that is incommensurable with the rewards earned from the bandit machine, and then describe a first ...
Tran-Thanh, Long +4 more
core +2 more sources
Budgeted Bandits for Power Allocation and Trajectory Planning in UAV-NOMA Aided Networks
Drones, 2023 On one hand combining Unmanned Aerial Vehicles (UAVs) and Non-Orthogonal Multiple Access (NOMA) is a remarkable direction to sustain the exponentially growing traffic requirements of the forthcoming Sixth Generation (6G) networks.
Ramez Hosny +4 more
doaj +1 more source
Indexability and index heuristics for a simple class of inventory routing problems [PDF]
, 2009 We utilise and develop Whittle's restless bandit formulation to analyse a simple class of inventory routing problems with direct deliveries. These routing problems arise from the practice of vendor-managed inventory replenishment and concern the optimal ...
Glazebrook, K D +2 more
core +5 more sources