Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach

This work presents a novel approach to the challenge of battery charging under real-world constraints, related to uncertainties in system parameters and unmeasurable internal states of batteries. By leveraging the imitation learning paradigm, this study introduces an innovative solution to address t...

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Bibliographic Details
Main Authors: Andrea Pozzi, Daniele Toti
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10286476/