Chen, Y., Huang, A., Wang, Z., Antonoglou, I., Schrittwieser, J., Silver, D., de Freitas, N.: Bayesian optimization in AlphaGo. CoRR abs/1812.06855 (2018) Google Scholar Clarke, A., McMahon, B., Menon, P., Pate
Optimizing multiple, non-preferential objectives for mixed variable, expensive black-box problems is important in many areas of engineering and science. The expensive, noisy, black-box nature of these problems makes them ideal candidates for Bayesian optimization (BO). mixed variable and multi-objectiv...
I’ll refer to this thing we care about as X (qualia? consciousness? fun?), but I expect people will disagree on what matters for quite some time. Some people will worry that X is lost in uploading, others will worry that some later optimization process will remove X from some future ...
Bayesian Optimization in AlphaGo. arXiv 2018, arXiv:1812.06855. [Google Scholar] Nguyen, V.; Osborne, M.A. Knowing the what but not the where in Bayesian optimization. In Proceedings of the 37th International Conference on Machine Learning, PMLR, Virtual, 13–18 July 2020; Volume 119, pp...