{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T17:28:28Z","timestamp":1782149308949,"version":"3.54.5"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["299358"],"award-info":[{"award-number":["299358"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2022,3,1]]},"DOI":"10.1109\/tvcg.2020.3018187","type":"journal-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T20:03:51Z","timestamp":1597953831000},"page":"1648-1660","source":"Crossref","is-referenced-by-count":8,"title":["Visualizing Movement Control Optimization Landscapes"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7764-3459","authenticated-orcid":false,"given":"Perttu","family":"Hamalainen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0312-2244","authenticated-orcid":false,"given":"Juuso","family":"Toikka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4930-9917","authenticated-orcid":false,"given":"Amin","family":"Babadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5926-0905","authenticated-orcid":false,"given":"C. Karen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"OpenAI gym","author":"brockman","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0710743106"},{"key":"ref33","article-title":"Exploring loss function topology with cyclical learning rates","author":"smith","year":"2017"},{"key":"ref32","first-page":"1019","article-title":"Sharp minima can generalize for deep nets","author":"dinh","year":"0"},{"key":"ref31","article-title":"On large-batch training for deep learning: Generalization gap and sharp minima","author":"keskar","year":"0"},{"key":"ref30","article-title":"Qualitatively characterizing neural network optimization problems","author":"goodfellow","year":"2014"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2008.4739438"},{"key":"ref36","first-page":"1","article-title":"Autograd: Effortless gradients in numpy","author":"maclaurin","year":"2015","journal-title":"Proc Int Conf Mach Learn Workshop"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276511"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3116595.3116617"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.6.3.221"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2849386"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2808234"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1145\/2601097.2601218","article-title":"Online motion synthesis using sequential Monte Carlo","volume":"33","author":"h\u00e4m\u00e4l\u00e4inen","year":"2014","journal-title":"ACM Trans Graph"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30217-9_29"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201311"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356536"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322972"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201397"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3355089.3356501"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2014.X.052"},{"key":"ref25","first-page":"1","article-title":"Guided policy search","author":"levine","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1992.10476258"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013176309260"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531366"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2012.325"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185539"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778865"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/166117.166160"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2012.325"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073707"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386025"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508399"},{"key":"ref18","article-title":"Deep neuroevolution: Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning","author":"such","year":"2017"},{"key":"ref19","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3099564.3099567"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1145\/2767002","article-title":"Online control of simulated humanoids using particle belief propagation","volume":"34","author":"h\u00e4m\u00e4l\u00e4inen","year":"2015","journal-title":"ACM Trans Graph"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/54852.378507"},{"key":"ref5","first-page":"6389","article-title":"Visualizing the loss landscape of neural nets","author":"li","year":"2018","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882286"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/133994.134083"},{"key":"ref49","article-title":"Stable baselines","author":"hill","year":"2018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015754"},{"key":"ref46","article-title":"Unity: A general platform for intelligent agents","author":"juliani","year":"2018"},{"key":"ref45","article-title":"The CMA evolution strategy: A tutorial","author":"hansen","year":"2016"},{"key":"ref48","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2855049"},{"key":"ref42","article-title":"DeepMind control suite","author":"tassa","year":"2018"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3099564.3099579"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190398"},{"key":"ref43","article-title":"EPOpt: Learning robust neural network policies using model ensembles","author":"rajeswaran","year":"0"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/9695945\/09172089.pdf?arnumber=9172089","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T21:02:12Z","timestamp":1650920532000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9172089\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":51,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2020.3018187","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,1]]}}}