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Abstract: Designing safety-critical controllers for acceleration-controlled unicycle robots is challenging, as control inputs may not appear in the constraints of control Lyapunov functions (CLFs) and ...
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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