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]
@inproceedings{HuntFMHDS21,
title = {Verifiably safe exploration for end-to-end reinforcement learning},
author = {Nathan Hunt and Nathan Fulton and Sara Magliacane and Trong Nghia Hoang and Subhro Das and Armando Solar-Lezama},
year = {2021},
doi = {10.1145/3447928.3456653},
url = {https://doi.org/10.1145/3447928.3456653},
researchr = {https://researchr.org/publication/HuntFMHDS21},
cites = {0},
citedby = {0},
booktitle = {HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, Nashville, Tennessee, May 19-21, 2021},
editor = {Sergiy Bogomolov and Raphaël M. Jungers},
publisher = {ACM},
isbn = {978-1-4503-8339-4},
}