Results 71 to 80 of about 1,303 (127)

Arm order recognition in multi-armed bandit problem with laser chaos time series. [PDF]

Sci Rep, 2021
Narisawa N, Chauvet N, Hasegawa M, Naruse M.   +3 more
europepmc   +1 more source

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.
europepmc   +1 more source

Unit-Commitment-Guided Online Learning for Day-Ahead Electricity Market Bidding

IEEE Access
This paper proposes a unit-commitment-guided multi-armed bandit method for learning bidding strategies of a generation company participating in a day-ahead electricity market under generator constraints, award uncertainty, and imbalance settlement.
Shintaro Negishi, Yu Oikawa
doaj   +1 more source

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, Mohamed EM, Tran GK, Sakaguchi K.   +3 more
europepmc   +1 more source

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, Hatano K, Kasban H, Mahmoud Mohamed E.   +3 more
europepmc   +1 more source

Solving multi-armed bandit problems using a chaotic microresonator comb

APL Photonics
The Multi-Armed Bandit (MAB) problem, foundational to reinforcement learning-based decision-making, addresses the challenge of maximizing rewards amid multiple uncertain choices.
Jonathan Cuevas, Ryugo Iwami, Atsushi Uchida, Kaoru Minoshima, Naoya Kuse   +4 more
doaj   +1 more source

Dynamic channel selection in wireless communications via a multi-armed bandit algorithm using laser chaos time series. [PDF]

Sci Rep, 2020
Takeuchi S, Hasegawa M, Kanno K, Uchida A, Chauvet N, Naruse M.   +5 more
europepmc   +1 more source

Size- and lifetime-aware disjoint dominating set formation and multi-armed-bandit-based scheduling for energy-efficient IoT-WSNs in sustainable smart city applications. [PDF]

Sci Rep
Salim A, Khedr AM, El-Sawy AA, Alwasel B, Osamy W.   +4 more
europepmc   +1 more source

Correction to "BiDir-GRCO: A Bidirectional General Reaction Conditions Optimization Framework Integrating Multi-Armed Bandit and Regression Model". [PDF]

ACS Omega
Jiang Q, Tian M, Liu J, Mo J.
europepmc   +1 more source