{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T04:22:17Z","timestamp":1769746937423,"version":"3.49.0"},"reference-count":40,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,27]]},"DOI":"10.23919\/fruct50888.2021.9347628","type":"proceedings-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T22:51:14Z","timestamp":1618267874000},"page":"349-357","source":"Crossref","is-referenced-by-count":10,"title":["Deep Reinforcement Learning for Path Planning by Cooperative Robots: Existing Approaches and Challenges"],"prefix":"10.23919","author":[{"given":"Walaa","family":"Othman","sequence":"first","affiliation":[{"name":"ITMO university,Saint-Petersburg,Russia"}]},{"given":"Nikolay","family":"Shilov","sequence":"additional","affiliation":[{"name":"SPC RAS,Saint-Petersburg,Russia"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2013.2252252"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2005.1545548"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.028"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974695"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2019.8816208"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2019.8781522"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.09.092"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"172988141877584","DOI":"10.1177\/1729881418775849","article-title":"Memory-based reinforcement learning algorithm for autonomous exploration in unknown environment","volume":"15","author":"ramezani","year":"2018","journal-title":"International Journal of Advanced Robotic Systems"},{"key":"ref35","author":"damani","year":"2020","journal-title":"Prima12 Pathfinding via reinforcement and imitation multi-agent learning - lifelong"},{"key":"ref34","volume":"abs 1511 6581","author":"wang","year":"2015","journal-title":"Dueling network architectures for deep reinforcement learning"},{"key":"ref10","first-page":"668","author":"standley","year":"2011","journal-title":"Complete algorithms for cooperative pathfinding problems"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2983445"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-012-9275-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07455-9_3"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1007\/978-3-319-56991-8_32","article-title":"Deep reinforcement learning: An overview","author":"mousavi","year":"2018","journal-title":"Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref15","article-title":"Cooperative heterogeneous multi-robot systems: A survey","volume":"52","author":"rizk","year":"2019","journal-title":"ACM Comput Surv"},{"key":"ref16","article-title":"Cooperative multi-agent planning: A survey","volume":"50","author":"torre\u00f1o","year":"2017","journal-title":"ACM Comput Surv"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011438"},{"key":"ref18","author":"ye","year":"2020","journal-title":"From seeing to moving A survey on learning for visual indoor navigation (vin)"},{"key":"ref19","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946659"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139227"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489066"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2288-4_64"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2502"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"3057","DOI":"10.3390\/app9153057","article-title":"Multi-robot path planning method using reinforcement learning","volume":"9","author":"bae","year":"2019","journal-title":"Applied Sciences"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2010.5652823"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57802-2_56"},{"key":"ref7","first-page":"1401","volume":"3","author":"jansen","year":"2008","journal-title":"A new approach to cooperative pathfinding"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"6","DOI":"10.3390\/machines5010006","article-title":"Perception, planning, control, and coordination for autonomous vehicles","volume":"5","author":"pendleton","year":"2017","journal-title":"Machines"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2009.62"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.1990.262370"},{"key":"ref20","author":"he","year":"2015","journal-title":"Deep residual learning for image recognition"},{"key":"ref22","first-page":"415","author":"zhang","year":"2019","journal-title":"An end-to-end automatic cloud database tuning system using deep reinforcement learning"},{"key":"ref21","author":"goodfellow","year":"2014","journal-title":"Generative adversarial networks"},{"key":"ref24","first-page":"34","volume":"233","author":"cruz","year":"2017","journal-title":"Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning"},{"key":"ref23","volume":"abs 1509 6461","author":"van hasselt","year":"2015","journal-title":"Deep reinforcement learning with double q-learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5781591"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.01.054"}],"event":{"name":"2021 28th Conference of Open Innovations Association (FRUCT)","location":"Moscow, Russia","start":{"date-parts":[[2021,1,27]]},"end":{"date-parts":[[2021,1,29]]}},"container-title":["2021 28th Conference of Open Innovations Association (FRUCT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9347567\/9347543\/09347628.pdf?arnumber=9347628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T22:33:55Z","timestamp":1643409235000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9347628\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,27]]},"references-count":40,"URL":"https:\/\/doi.org\/10.23919\/fruct50888.2021.9347628","relation":{},"subject":[],"published":{"date-parts":[[2021,1,27]]}}}