Abstract: In complex and dynamic environments, achieving autonomous decision-making and control of agent remains a challenging task. Traditional reinforcement learning algorithms often struggle to ...
Safety-critical systems are all around us in the modern world, from autonomous cars to aerial systems. In recent years, Control Barrier Functions (CBFs) [1] have proven to be a versatile method for ...
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