Preprint
Sep 2026
Safety-aware Skill Adaptation for Reinforcement Learning in Dynamic Environments
Dist-GPRL is presented, a distance-aware and safety-guided reinforcement learning framework for structured robot skill adaptation that sequentially adapts overlapping local windows of sparse trajectory via-points rather than modifying the complete skill at every policy step.
A. K. M. Nadimul Haque, Sheila Sutjipto, Marc G. Carmichael et al.
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