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📄 ResearchMay 26, 2026

Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning

Safe reinforcement learning (RL) for robotic systems requires policies that improve task performance while satisfying state and input constraints during both training and deployment. Control barrier functions (CBFs) provide a principled mechanism for enforcing forward invariance through minimally in...

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Source

http://arxiv.org/abs/2605.26452v1
Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning | The 500 Feed