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Confidence Aware Deep Learning Driven Wireless Resource Allocation in Shared Spectrum Bands

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3162829

Abstract: Deep learning (DL) driven proactive resource allocation (RA) is a promising approach for the efficient management of network resources. However, DL models typically have a limitation that they do not capture the uncertainty due to… read more here.

Keywords: learning driven; resource; deep learning; resource allocation ... See more keywords

Confidence-Aware Multiscale Learning for Online Modeling of Distributed Parameter Systems With Application to Curing Process

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2 Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3212419

Abstract: In industrial applications, the modeling of distributed parameter systems (DPSs) is of significance for process control and monitoring. Due to infinite dimension, spatiotemporal coupled dynamics, nonlinearity, and model uncertainties, however, modeling and online applications of… read more here.

Keywords: distributed parameter; modeling distributed; learning; confidence aware ... See more keywords

Confidence-Aware Reinforcement Learning for Self-Driving Cars

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1 Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2021.3069497

Abstract: Reinforcement learning (RL) can be used to design smart driving policies in complex situations where traditional methods cannot. However, they are frequently black-box in nature, and the resulting policy may perform poorly, including in scenarios… read more here.

Keywords: reinforcement learning; confidence; aware reinforcement; policy ... See more keywords