Learning provably stabilizing neural controllers for discrete-time stochastic systems
We consider the problem of learning control policies in discrete-time stochastic systems which guarantee that the system stabilizes within some specified stabilization region with probability 1. Our approach is based on the novel notion of stabilizing ranking supermartingales (sRSMs) that we introdu...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9067 https://ink.library.smu.edu.sg/context/sis_research/article/10070/viewcontent/978_3_031_45329_8.pdf |
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| Institution: | Singapore Management University |
| Language: | English |