A benchmarking framework for solving automatic design problems that involve choosing an input that maximizes a black-box function
Design-Bench is a benchmarking framework for solving automatic design problems that involve choosing an input that maximizes a black-box function. This type of optimization is used across scientific and engineering disciplines in ways such as designing proteins and DNA sequences with particular functions, chemical formulas and molecule substructures, the morphology and controllers of robots, and many more applications.
These applications have significant potential to accelerate research in biochemistry, chemical engineering, materials science, robotics and many other disciplines. We hope this framework serves as a robust platform to drive these applications and create widespread excitement for model-based optimization.
Offline Model-Based Optimization
The goal of model-based optimization is to find an input x that maximizes an unknown black-box function f. This