PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC

Fuente: arXiv

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Bibliographic Details
Main Authors:	Amiri, Mohsen, Beikmohammadi, Ali, Magnuśson, Sindri, Hosseinzadeh, Mehdi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.08036