Adversarial-Training-Based Robust Reinforcement Learning Control for Autonomous Vehicle Trajectory Tracking

Autonomous vehicles must maintain stable and accurate trajectory and speed tracking even in scenarios involving unpredictable disturbances and changing environmental conditions. Reinforcement learning (RL)–based controllers that directly output control inputs often exhibit performance degrada...

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Autors principals:	Donghyun Lee, Taeyoung Oh, Jinkyeom Kim, Jinwoo Yoo
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Autonomous vehicle reinforcement learning (RL) vehicle control adversarial reinforcement learning
Accés en línia:	https://ieeexplore.ieee.org/document/11447271/
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