Smart Choices and the Selection Monad

2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)(2021)

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摘要
Describing systems in terms of choices and their resulting costs and rewards promises to free algorithm designers and programmers from specifying how to make those choices. In implementations, the choices can be realized by optimization or machine-learning methods.We study this approach from a programming-language perspective. We define a small language that supports decision-making abstraction, r...
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关键词
Semantics,Decision making,Machine learning,Games,Writing,Pareto optimization,Probabilistic logic
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