{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:19:22Z","timestamp":1778080762738,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"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":[[2024,5,13]]},"DOI":"10.1109\/icra57147.2024.10611474","type":"proceedings-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T17:51:05Z","timestamp":1723139465000},"page":"6650-6656","source":"Crossref","is-referenced-by-count":9,"title":["When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Kohei","family":"Honda","sequence":"first","affiliation":[{"name":"Nagoya University,Department of Mechanical Systems Engineering,Furo-Cho, Chikusa-Ku, Nagoya, Aichi,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryo","family":"Yonetani","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation,Hongo, Bunkyo-Ku, Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mai","family":"Nishimura","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation,Hongo, Bunkyo-Ku, Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tadashi","family":"Kozuno","sequence":"additional","affiliation":[{"name":"OMRON SINIC X Corporation,Hongo, Bunkyo-Ku, Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1999.770002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1997.606880"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794248"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.1997.656593"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2800109"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2023.104493"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(98)00023-X"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341620"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636039"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/jsee.2023.000051"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461096"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2931199"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794062"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636226"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3233261"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3026638"},{"key":"ref18","article-title":"ARA*: Anytime A* with provable bounds on sub-optimality","volume":"16","author":"Likhachev","year":"2003","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2022.3213466"},{"key":"ref20","first-page":"4045","article-title":"Time limits in reinforcement learning","volume-title":"International Conference on Machine Learning","author":"Pardo"},{"key":"ref21","article-title":"Prioritized experience replay","volume-title":"International Conference on Learning Representations","author":"Schaul"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911406761"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/70.508439"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/100.580977"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3062730"},{"issue":"268","key":"ref27","first-page":"1","article-title":"Stable-baselines3: Reliable reinforcement learning implementations","volume":"22","author":"Raffin","year":"2021","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","location":"Yokohama, Japan","start":{"date-parts":[[2024,5,13]]},"end":{"date-parts":[[2024,5,17]]}},"container-title":["2024 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10609961\/10609862\/10611474.pdf?arnumber=10611474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T04:18:11Z","timestamp":1723349891000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10611474\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icra57147.2024.10611474","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]}}}