Stochastic control approach to the multi-armed bandit problems

Stochastic control approach to the multi-armed bandit problems

<p>A multi-armed bandit is the simplest problem to study learning under uncertainty when decisions affect information. A standard approach to the multi-armed bandit often gives a heuristic construction of an algorithm and proves its regret bound. Following a constructive approach, it is often...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur:	Treetanthiploet, T
Awduron Eraill:	Cohen, S
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	2021
Pynciau:	Mathematics Machine learning

Eitemau Tebyg

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Dynamic Grouping within Minimax Optimal Strategy for Stochastic Multi-ArmedBandits in Reinforcement Learning Recommendation
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Regulating exploration in multi-armed bandit problems with time patterns and dying arms
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Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers
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Use of Logarithmic Rates in Multi-Armed Bandit-Based Transmission Rate Control Embracing Frame Aggregations in Wireless Networks
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Addictive Games: Case Study on Multi-Armed Bandit Game
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Fair Probabilistic Multi-Armed Bandit With Applications to Network Optimization
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Multi-Armed Bandits for Spectrum Allocation in Multi-Agent Channel Bonding WLANs
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Learning-Based Beamforming for Multi-User Vehicular Communications: A Combinatorial Multi-Armed Bandit Approach
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Demystifying the Two-Armed Futurity Bandit’s Unfairness and Apparent Fairness
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Adversarial Autoencoder and Multi-Armed Bandit for Dynamic Difficulty Adjustment in Immersive Virtual Reality for Rehabilitation: Application to Hand Movement
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A multi-armed bandit approach for exploring partially observed networks
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Multi-armed bandit for species discovery: a Bayesian nonparametric approach
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Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm
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Solving multi-armed bandit problems using a chaotic microresonator comb
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Multi-arm bandit-led clustering in federated learning
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Application of Multi-Armed Bandit Algorithm in Quantitative Finance
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Conservative Contextual Combinatorial Cascading Bandit
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ON ERGODIC TWO-ARMED BANDITS
gan: Tarres, P, et al.
Cyhoeddwyd: (2012)

Transfer restless multi-armed bandit policy for energy-efficient heterogeneous cellular network
gan: Navikkumar Modi, et al.
Cyhoeddwyd: (2019-10-01)

Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning
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Contextual Multi-Armed Bandit With Costly Feature Observation in Non-Stationary Environments
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Conservation Laws, Extended Polymatroids and Multi-Armed Bandit Problems; A unified Approach to Indexabel Systems
gan: Bertsimas, Dimitris J., et al.
Cyhoeddwyd: (2004)

Conservation laws, extended polymatroids and multi-armed bandit problems : a unified approach to indexable systems
gan: Bertsimas, Dimitris., et al.
Cyhoeddwyd: (2009)

Wi-Fi Assisted Contextual Multi-Armed Bandit for Neighbor Discovery and Selection in Millimeter Wave Device to Device Communications
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A Contextual-Bandit-Based Approach for Informed Decision-Making in Clinical Trials
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Cyhoeddwyd: (2022-08-01)

Decentralized cooperative stochastic bandits
gan: Martínez-Rubio, D, et al.
Cyhoeddwyd: (2019)

Positioning and power optimisation for UAV-assisted networks in the presence of eavesdroppers: a multi-armed bandit approach
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Cyhoeddwyd: (2022-09-01)