arXiv Machine Learning June 9, 2026 By Dhruv S. Kushwaha, Zoleikha A. Biron

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

Read the original on arXiv Machine Learning →

arXiv:2605. 26452v2 Announce Type: replace-cross Abstract: Safe reinforcement learning (RL) for robotic systems requires policies that improve task performance while satisfying state and input constraints during both training and deployment.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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LC-SAC: Lyapunov-Constrained Soft Actor-Critic via Koopman Operator Theory for Trajectory Tracking and Stabilization

COP-Q: Safety-First Reinforcement Learning for Robot Control via Cholesky-Ordered Projection

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