LearnToOpt

Many difficult real-world optimization problems require the usage of randomized derivative-free algorithms to cope with non-convexity and possibly multiple objectives. State-of-the-art solvers are designed with hand-crafted updates involving simple equations. This AEx project aims to leverage recent progress in reinforcement and deep learning to "automatically learn" new solvers.