{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T00:03:59Z","timestamp":1756771439432,"version":"3.44.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/robio49542.2019.8961870","type":"proceedings-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T14:49:51Z","timestamp":1579618191000},"page":"1892-1898","source":"Crossref","is-referenced-by-count":2,"title":["Probabilistic Inferences on Quadruped Robots: An Experimental Comparison"],"prefix":"10.1109","author":[{"given":"Jiahui","family":"Zhu","sequence":"first","affiliation":[{"name":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyan","family":"Rong","sequence":"additional","affiliation":[{"name":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andre","family":"Rosendo","sequence":"additional","affiliation":[{"name":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0186107"},{"article-title":"A tutorial on bayesian optimization","year":"2018","author":"frazier","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1115\/1.3653121"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2008.03.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nature14422"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778810"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508399"},{"article-title":"Cma-es for hyperparameter optimization of deep neural networks","year":"2016","author":"loshchilov","key":"ref17"},{"key":"ref4","first-page":"2951","article-title":"Practical bayesian optimization of machine learning algorithms","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2562","DOI":"10.1109\/IROS.2004.1389794","article-title":"An evolutionary approach to gait learning for four-legged robots","volume":"3","author":"chernova","year":"2004","journal-title":"2004 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)(IEEE Cat No 04CH37566)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-24741-6_26"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907117"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2017.8324681"},{"article-title":"The cma evolution strategy: A tutorial","year":"2016","author":"hansen","key":"ref7"},{"key":"ref2","first-page":"890","article-title":"Evolving robot gaits in hardware: the hyperneat generative encoding vs. parameter optimization","author":"yosinski","year":"2011","journal-title":"ECAL"},{"key":"ref1","first-page":"89","article-title":"Stochastic optimization via grid search","volume":"33","author":"ensor","year":"1997","journal-title":"Am Math Soc Lec in Appl Math"},{"key":"ref9","first-page":"63","article-title":"Gaussian processes in machine learning","author":"rasmussen","year":"2003","journal-title":"Machine Learning Summer School"}],"event":{"name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","start":{"date-parts":[[2019,12,6]]},"location":"Dali, China","end":{"date-parts":[[2019,12,8]]}},"container-title":["2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8953068\/8961374\/08961870.pdf?arnumber=8961870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T19:21:56Z","timestamp":1756754516000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8961870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/robio49542.2019.8961870","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}