{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:57:10Z","timestamp":1743101830759,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":10,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819959679"},{"type":"electronic","value":"9789819959686"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-5968-6_5","type":"book-chapter","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T23:04:42Z","timestamp":1694732682000},"page":"49-59","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Path Planning of Mobile Robots Based on Dyna-RQ"],"prefix":"10.1007","author":[{"given":"Ziying","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xian","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,15]]},"reference":[{"issue":"8","key":"5_CR1","first-page":"104","volume":"56","author":"N Guo","year":"2020","unstructured":"Guo, N., Li, C., Wang, D., Zhang, N., Liu, G.: Path planning of mobile robot based on prediction and fuzzy control. Comput. Eng. Appl. 56(8), 104\u2013109 (2020)","journal-title":"Comput. Eng. Appl."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Wang, Y., Chirikjian, G.S.: A new potential field method for robot path planning. In: IEEE International Conference on Robotics and Automation, Proceedings. ICRA. IEEE, vol. 2, pp. 977\u2013982 (2000)","DOI":"10.1109\/ROBOT.2000.844727"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Roberge, V., Tarbouchi, M., Labonte, G.: Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning. IEEE Trans. Ind. Inform. 9(1), 132\u2013141 (2013)","DOI":"10.1109\/TII.2012.2198665"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, S., Guo, H.: A type of biased consensus-based distributed neural network for path planning. Nonlinear Dyn. 1\u201313 (2017)","DOI":"10.1007\/s11071-017-3553-7"},{"issue":"13","key":"5_CR5","first-page":"113","volume":"6","author":"W Hu","year":"2022","unstructured":"Hu, W., Lei, B.: Application research of computer vision technology based on deep neural network in path. Planning 6(13), 113\u2013116 (2022)","journal-title":"Planning"},{"key":"5_CR6","unstructured":"Cao, J., Liu, Q.: Research on path planning algorithm based on deep reinforcement learning. 39(11), 231\u2013237 (2022)"},{"issue":"3\u20134","key":"5_CR7","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1007\/BF00992695","volume":"8","author":"RS Sutton","year":"1992","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement learning: an introduction. Mach. Learn. 8(3\u20134), 225\u2013227 (1992)","journal-title":"Mach. Learn."},{"issue":"8","key":"5_CR8","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.knosys.2011.09.008","volume":"32","author":"M Santos","year":"2012","unstructured":"Santos, M., Botella, G.: Dyna-H: a heuristic planning reinforcement learning algorithm applied to role-playing game strategy decision systems. Knowl.-Based Syst. 32(8), 28\u201336 (2012)","journal-title":"Knowl.-Based Syst."},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.neucom.2018.08.068","volume":"319","author":"R Zajdel","year":"2018","unstructured":"Zajdel, R.: Epoch-incremental dyna learning and prioritized sweeping algorithms. Neurocomputing 319, 13\u201320 (2018)","journal-title":"Neurocomputing"},{"issue":"1","key":"5_CR10","first-page":"185","volume":"41","author":"S Liu","year":"2021","unstructured":"Liu, S., Tong, X.: Urban transportation path planning based on reinforcement learning. J. Comput. Appl. 41(1), 185\u2013190 (2021)","journal-title":"J. Comput. Appl."}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-5968-6_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T03:20:17Z","timestamp":1730085617000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-5968-6_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819959679","9789819959686"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-5968-6_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"15 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Harbin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpcsee2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2023.icpcsee.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"244","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}