Research

Adaptation Based Programming

The goal of this project is to enable a programmer to write code that learns to "do the right thing" after repeated executions. This ability is necessary when the program is complex and optimal program behavior is hard to encode. In other words, we want to make it easy for programmers to write adaptive code that learns to solve complex problems optimally. Our focus is on usability and performance, which for the programmer means getting the benefits of cutting-edge ideas from Machine Learning without having to learn any of it.

Papers

    Robust Learning for Adaptive Programs by Leveraging Program Structure

References

    ABP

Members

    Participating members