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ACTOR: Adaptive Control of Transmission Power in RPL

• Authors : Rabet, Iliar; Fotouhi, Hossein; Alves, M.

Subjects: wireless sensor networks; Routing Protocol for Low-Power Lossy Networks (RPL); radio resource management

• Source: Sensors. 24(7)

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A UCB-based dynamic CoAP mode selection algorithm in distribution IoT

• Authors : Shidong Zhang; Xinhong You; Pengping Zhang

Subjects: Constrained application protocol (CoAP); Upper confidence bound (UCB); Distribution internet of things (IoT)

• Source: Alexandria Engineering Journal, Vol 61, Iss 1, Pp 719-727 (2022)

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Multi-Armed Bandit-Based User Network Node Selection.

• Authors : Gao, Qinyan¹ (AUTHOR) ; Xie, Zhidong^2,3 (AUTHOR)

• Source: Sensors (14248220). Jul2024, Vol. 24 Issue 13, p4104. 16p.

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Dopamine encoding of novelty facilitates efficient uncertainty-driven exploration.

• Authors : Wang, Yuhao¹ (AUTHOR); Lak, Armin² (AUTHOR); Manohar, Sanjay G.³ (AUTHOR)

• Source: PLoS Computational Biology. 4/16/2024, Vol. 20 Issue 4, p1-27. 27p.

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A minimax and asymptotically optimal algorithm for stochastic bandits

• Authors : Ménard, Pierre; Garivier, Aurélien;

Subjects: Stochastic multi-armed bandits; regret analysis; upper confidence bound (UCB)

• Source: Algorithmic Learning Theory ; https://hal.science/hal-01475078 ; Algorithmic Learning Theory, 2017, 2017 Algorithmic Learning Theory Conference 76

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A Fast Algorithm for Estimating Two-Dimensional Sample Entropy Based on an Upper Confidence Bound and Monte Carlo Sampling.

• Authors : Zhou, Zeheng¹ (AUTHOR); Jiang, Ying¹ (AUTHOR) ; Liu, Weifeng¹ (AUTHOR)

• Source: Entropy. Feb2024, Vol. 26 Issue 2, p155. 15p.

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On some adaptivity question in stochastic multi-armed bandits problems ; Sur quelques questions d'adaptation dans des problèmes de bandits stochastiques

• Authors : Hadiji, Hédi;

Subjects: Stochastic multi-armed bandits; upper confidence bound (UCB); minimax optimality

• Source: https://theses.hal.science/tel-02941801 ; Statistics [math.ST]. Université Paris-Saclay, 2020. English. ⟨NNT : ⟩.

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On some adaptivity questions in stochastic multi-armed bandits ; Sur quelques questions d'adaptation dans des problèmes de bandits stochastiques

• Authors : Hadiji, Hédi;

Subjects: Stochastic multi-armed bandits; Adaptive statistics; Upper confidence bound (UCB)

• Source: https://theses.hal.science/tel-03117852 ; Statistics [math.ST]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASM021⟩.

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Regret Bounds and Minimax Policies under Partial Monitoring

• Authors : Audibert, Jean-Yves; Bubeck, Sébastien;

Subjects: Bandits (adversarial and stochastic); regret bound; minimax rate

• Source: ISSN: 1532-4435.

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Minimax policies for bandits games

• Authors : Jean-yves Audibert; Sébastien Bubeck; The Pennsylvania State University CiteSeerX Archives

Subjects: Bandits (adversarial and stochastic; regret bound; minimax rate

• Source: http://cermics.enpc.fr/~audibert/Mes%20articles/JMLR10.pdf.

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