{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T16:49:34Z","timestamp":1774716574459,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10651176","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["A cGAN Ensemble-based Uncertainty-aware Surrogate Model for Offline Model-based Optimization in Industrial Control Problems"],"prefix":"10.1109","author":[{"given":"Cheng","family":"Feng","sequence":"first","affiliation":[{"name":"Siemens Technology,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8280935"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.106886"},{"key":"ref3","first-page":"10358","article-title":"Conservative objective models for effective offline model-based optimization","volume-title":"International Conference on Machine Learning","author":"Trabucco"},{"key":"ref4","first-page":"14129","article-title":"Mopo: Model-based offline policy optimization","volume":"33","author":"Yu","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","first-page":"21810","article-title":"Morel: Model-based offline reinforcement learning","volume":"33","author":"Kidambi","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73190-0_2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref8","volume-title":"Reinforcement learning: An introduction","author":"Sutton","year":"2018"},{"key":"ref9","article-title":"Offline reinforcement learning: Tutorial, review, and perspectives on open problems","author":"Levine","year":"2020"},{"key":"ref10","article-title":"D4rl: Datasets for deep data-driven reinforcement learning","author":"Fu","year":"2020"},{"key":"ref11","first-page":"63","article-title":"Gaussian processes in machine learning","volume-title":"Summer school on machine learning","author":"Rasmussen","year":"2003"},{"key":"ref12","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.218"},{"key":"ref14","first-page":"1184","article-title":"Decomposition of uncertainty in bayesian deep learning for efficient and risk-sensitive learning","volume-title":"International Conference on Machine Learning","author":"Depeweg"},{"key":"ref15","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref16","article-title":"Uncertainty in deep learning","author":"Gal","year":"2016"},{"key":"ref17","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume":"30","author":"Lakshminarayanan","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref18","article-title":"On the usefulness of deep ensemble diversity for out-of-distribution detection","author":"Xia","year":"2022"},{"key":"ref19","first-page":"33646","article-title":"Deep ensembles work, but are they necessary?","volume":"35","author":"Abe","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01593"},{"key":"ref21","article-title":"Improved training of wasserstein gans","author":"Gulrajani","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/14-STS500"},{"key":"ref23","first-page":"2605","article-title":"Importance sampling policy evaluation with an estimated behavior policy","volume-title":"International Conference on Machine Learning","author":"Hanna"},{"key":"ref24","first-page":"1097","article-title":"Doubly robust policy evaluation and learning","volume-title":"Proceedings of the 28th International Conference on International Conference on Machine Learning","author":"Dud\u00edk"},{"issue":"11","key":"ref25","article-title":"Visualizing data using t-sne","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"Journal of machine learning research"},{"key":"ref26","article-title":"Continuous control with deep reinforcement learning","volume-title":"International Conference on Learning Representations","author":"Lillicrap"},{"key":"ref27","article-title":"Combo: Conservative offline model-based policy optimization","author":"Yu","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/ECC.1999.7099772"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966389"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.09.007"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10651176.pdf?arnumber=10651176","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T04:36:03Z","timestamp":1725942963000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10651176\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10651176","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}