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Found 3 papers, 1 papers with code
Smart Choices and the Selection Monad
We define two small languages that support decision-making abstractions: one with choices and rewards, and the other additionally with probabilities.
A Simple Differentiable Programming Language
In order to study automatic differentiation in such programming contexts, we define a small but expressive programming language that includes a construct for reverse-mode differentiation.
Learning a Natural Language Interface with Neural Programmer
The main experimental result in this paper is that a single Neural Programmer model achieves 34. 2% accuracy using only 10, 000 examples with weak supervision.
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