arXiv Machine Learning July 9, 2026 By Georg Sch\"afer, Jakob Rehrl, Stefan Huber, Simon Hirlaender

Safe Reinforcement Learning using Ideas from Model Predictive Control

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arXiv:2607. 07252v1 Announce Type: new Abstract: Reinforcement learning (RL) enables the synthesis of control policies directly from data, making it highly appealing for complex cyber-physical systems (CPSs) and robotics.

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