Built upon a formulated multi-armed bandit problem, CCBM significantly reduces the uncertainty during online probing process by employing early stopping and ...
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Probing in Combinatorial Multi-Armed Bandits. Zhizhen Li∗, Xuanhao Luo ... Alternatively, a multi-armed bandit (MAB) based online learning framework.
Sep 1, 2024 · Motivated by problems in search and detection we present a solution to a Combinatorial Multi-Armed Bandit (CMAB) problem with both ...
Co-authors ; Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits. Z Li, X Luo, M Chen, C Xu, Y Liu. ICC 2024-IEEE International ...
... Multi-Armed Bandit approach. Fabio Busacca, Laura Galluccio and ... Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits.
Zhizhen Li, Xuanhao Luo, Mingzhe Chen, Chenhan Xu, Yuchen Liu: Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits.
Liu, ''Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits'', IEEE International Conference on Communications (ICC), 2024.
Tekin, "Multi-user small base station association via contextual combinatorial volatile bandits ... Tekin, "Contextual combinatorial volatile multi-armed bandit ...
2024. Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits. Z Li, X Luo, M Chen, C Xu, Y Liu. ICC 2024-IEEE International ...
Publications. Context-Aware Beam Management via Online Probing in Combinatorial Multi-Armed Bandits. ICC 2024. Spatial-Temporal Attention-based mmWave Link ...