Verifiably safe exploration for end-to-end reinforcement learning - researchr publication authors

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Nathan Hunt, Nathan Fulton, Sara Magliacane, Trong Nghia Hoang, Subhro Das, Armando Solar-Lezama. Verifiably safe exploration for end-to-end reinforcement learning. In Sergiy Bogomolov, Raphaël M. Jungers, editors, HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, Nashville, Tennessee, May 19-21, 2021. ACM, 2021. [doi]

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