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Author

Jun Takamatsu

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Preprint Sep 2026

Real-World Reinforcement Learning with MPC Scaffolding for Dexterous Manipulation

A framework that uses sampling-based model predictive control (MPC) as scaffolding for real-world dexterous RL, providing structured prior experience and task-directed guidance during learning without human demonstrations or corrective actions is proposed.

Emek Barış Küçüktabak, Karankumar Patel, Zhao-Dong Yang et al. · 3 citations

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