A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles

A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ability to handle nonlinearities via continuous learning, the proposed algorithm is built upon a twin delayed deep...

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Autors principals:	Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Curriculum learning electric vehicle reinforcement learning torque vectoring yaw stability vehicle dynamics
Accés en línia:	https://ieeexplore.ieee.org/document/11077122/
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