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Simon Gottschalk

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#reinforcement learning Open access Sep 2026

Safeguarded Reinforcement Learning for Dynamic Environments

Purely machine learning‐based control strategies often suffer from the lack of safety guarantees. In this manuscript, we introduce a locally applied fallback controller to safeguard Deep Reinforcement Learning in dynamic environments. The fallback controller takes over whenever a safety criterion would otherwise be v...

Simon Gottschalk · 0 citations

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