Safe Option-Critic: Learning Safety in the Option-Critic Architecture

21 Jul 2018Arushi JainKhimya KhetarpalDoina Precup

Designing hierarchical reinforcement learning algorithms that induce a notion of safety is not only vital for safety-critical applications, but also, brings better understanding of an artificially intelligent agent's decisions. While learning end-to-end options automatically has been fully realized recently, we propose a solution to learning safe options... (read more)

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