Abstract: Control barrier functions (CBFs) are powerful tools for ensuring safety in controlled systems, commonly employed through the construction of a safety filter using quadratic programming (QP), ...
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Abstract: Deep Reinforcement Learning (DRL) has been successfully applied to learn policies for safety-critical systems with unknown model dynamics in simulation. DRL controllers though optimal in ...
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