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Mohab Elkhayat

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#machine learning Preprint Sep 2026

Intrinsic Robot Rewarding: Reusing VLA Representations for Autonomous Evaluation and Policy Improvement

Intrinsic Robot Rewarding (IRR) proposes a reusable approach to learn and improve from the data and experience already available in industrial robot systems, linking reward reliability to task success and supervision effort.

Tobias Schäffer, Mohab Elkhayat, Daniela Nicklas et al. · 0 citations

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