{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T04:27:35Z","timestamp":1776745655667,"version":"3.51.2"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T00:00:00Z","timestamp":1654646400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T00:00:00Z","timestamp":1654646400000},"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":[[2022,6,8]]},"DOI":"10.23919\/acc53348.2022.9867151","type":"proceedings-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T16:24:10Z","timestamp":1662395050000},"page":"3572-3578","source":"Crossref","is-referenced-by-count":3,"title":["Guided Policy Search using Sequential Convex Programming for Initialization of Trajectory Optimization Algorithms"],"prefix":"10.23919","author":[{"given":"Taewan","family":"Kim","sequence":"first","affiliation":[{"name":"University of Washington,Autonomous Controls Laboratory,William E. Boeing Department of Aeronautics and Astronautics,Seattle,WA,USA,98105"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Purnanand","family":"Elango","sequence":"additional","affiliation":[{"name":"University of Washington,Autonomous Controls Laboratory,William E. Boeing Department of Aeronautics and Astronautics,Seattle,WA,USA,98105"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danylo","family":"Malyuta","sequence":"additional","affiliation":[{"name":"University of Washington,Autonomous Controls Laboratory,William E. Boeing Department of Aeronautics and Astronautics,Seattle,WA,USA,98105"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Behcet","family":"Acikmese","sequence":"additional","affiliation":[{"name":"University of Washington,Autonomous Controls Laboratory,William E. Boeing Department of Aeronautics and Astronautics,Seattle,WA,USA,98105"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.2514\/1.G002357","article-title":"Real-time optimal control via deep neural networks: study on landing problems","volume":"41","author":"s\u00e1nchez-s\u00e1nchez","year":"2018","journal-title":"Journal of Guidance Control and Dynamics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2019.11.039"},{"key":"ref12","first-page":"1334","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"levine","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref13","first-page":"3132","article-title":"Interactive control of diverse complex characters with neural net-works","volume":"28","author":"mordatch","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974653"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593843"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2514\/6.2019-0925"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2514\/6.2017-1500"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2514\/6.2021-0504"},{"key":"ref19","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the thirteenth inter-national conference on artificial intelligence and statistics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.1140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2002.1024483"},{"key":"ref6","article-title":"Convex optimization for trajectory generation","author":"malyuta","year":"2021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487156"},{"key":"ref8","first-page":"1","article-title":"Spacecraft rendezvous guidance in cluttered environments via reinforcement learning","author":"broida","year":"2019","journal-title":"AAS\/AIAA Space Flight Mechanic Meeting"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2020.02.051"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353843"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2514\/6.2018-0617"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/9781680834116"}],"event":{"name":"2022 American Control Conference (ACC)","location":"Atlanta, GA, USA","start":{"date-parts":[[2022,6,8]]},"end":{"date-parts":[[2022,6,10]]}},"container-title":["2022 American Control Conference (ACC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9866948\/9867142\/09867151.pdf?arnumber=9867151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T16:24:29Z","timestamp":1665419069000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9867151\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,8]]},"references-count":19,"URL":"https:\/\/doi.org\/10.23919\/acc53348.2022.9867151","relation":{},"subject":[],"published":{"date-parts":[[2022,6,8]]}}}