BoTorch is an in-house implementation of a GPbased Bayesian optimizer that relies on the BoTorch 118 and GPyTorch 122 libraries. For fully continuous parameter spaces and fully categorical parameter spaces with descriptors we use the Matern5/2 kernel. For fully categorical parameter spaces without descriptors we use the Hamming distance kernel, i.e., k (x,