mlr3mbo: Bayesian Optimization in R

ArXi:2603.29730v1 Announce Type: cross We present mlr3mbo, a comprehensive and modular toolbox for Bayesian optimization in R. mlr3mbo s single- and multi-objective optimization, multi-point proposals, batch and asynchronous parallelization, input and output transformations, and robust error handling. While it can be used for many standard Bayesian optimization variants in applied settings, researchers can also construct custom BO algorithms from its flexible building blocks. In addition to an