Efficient algorithms and representations for chance-constrained mixed constraint programming
Resistance to adoption of autonomous systems in comes in part from the perceived unreliability of the systems. The concerns can be addressed by deploying decision making algorithms that operate in the presence of uncertainty. The default approach is to optimise expected utility given probabilisti...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139908 |