{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:29:31Z","timestamp":1772908171098,"version":"3.50.1"},"reference-count":27,"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\/robio49542.2019.8961753","type":"proceedings-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T14:49:51Z","timestamp":1579618191000},"page":"1693-1698","source":"Crossref","is-referenced-by-count":40,"title":["A Global Path Planning Algorithm for Robots Using Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Penggang","family":"Gao","sequence":"first","affiliation":[{"name":"Westlake University,Department of Engineering,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihan","family":"Liu","sequence":"additional","affiliation":[{"name":"Westlake University,Department of Engineering,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongkai","family":"Wu","sequence":"additional","affiliation":[{"name":"Westlake University,Department of Engineering,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donglin","family":"Wang","sequence":"additional","affiliation":[{"name":"Westlake University,Department of Engineering,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68552-4_25"},{"key":"ref11","article-title":"Rapidly-exploring random trees: A new tool for path planning[J]","author":"lavalle","year":"1998"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.01.054"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4304\/jsw.7.3.657-662"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2012.2227719"},{"key":"ref15","first-page":"1850","article-title":"Reinforcement planning: RL for optimal planners[C]\/\/Robotics and Automation (ICRA)","author":"zucker","year":"2012","journal-title":"2012 IEEE International Conference on"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2014.6926309"},{"key":"ref17","first-page":"10","article-title":"Reinforcement learning-based path planning for autonomous robots[C]","author":"aranibar","year":"2004","journal-title":"EnRI-XXIV Congresso da Sociedade Brasileira de Computae ao"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/BF02481210"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5781591"},{"key":"ref4","author":"litman","year":"2017","journal-title":"Autonomous Vehicle Implementation Predictions"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/5.1.10"},{"key":"ref3","author":"latombe","year":"2012","journal-title":"Robot Motion Planning[M]"},{"key":"ref6","article-title":"Towards cognitive exploration through deep reinforcement learning for mobile robots[J]","author":"tai","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68345-4_9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF01386390"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3828.3830"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/app8091425"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1999.772447"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794121"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning[J]","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref22","article-title":"Path planning of mobile robot using reinforcement based artificial neural network[J]","volume":"6","author":"dubey","year":"2013","journal-title":"International Journal of Advances in Engineering & Technology"},{"key":"ref21","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks[C]","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1214\/lnms\/1196285403"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/app9153057"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-8997-2_29"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2016.11.007"}],"event":{"name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","location":"Dali, China","start":{"date-parts":[[2019,12,6]]},"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\/08961753.pdf?arnumber=8961753","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:23:24Z","timestamp":1755800604000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8961753\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/robio49542.2019.8961753","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}