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Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
April 29, 2024, 4:42 a.m. | Zhuoyuan Wang, Haoming Jing, Christian Kurniawan, Albert Chern, Yorie Nakahira
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper addresses the design of safety certificates for stochastic systems, with a focus on ensuring long-term safety through fast real-time control. In stochastic environments, set invariance-based methods that restrict the probability of risk events in infinitesimal time intervals may exhibit significant long-term risks due to cumulative uncertainties/risks. On the other hand, reachability-based approaches that account for the long-term future may require prohibitive computation in real-time decision making. To overcome this challenge involving stringent long-term …
abstract arxiv control cs.lg cs.sy design eess.sy environments events focus long-term paper probability real-time risk risks safe safety set stochastic systems through type
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