Risk-bounded Programming using Constrained, Hierarchical, Stochastic Shortest Path Problems
The escalating demand for autonomous systems that enhance human lives has emphasized a pressing need to ensure their safety. However, guaranteeing safety in the face of extensive decision-making and uncertain scenarios has proven to be a formidable challenge. We argue that an autonomous agent design...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152763 |