https://m2.mtmt.hu/ hun 2026-10-23 10:38 BookChapter 35775776 ADMIN_APPROVED true 0 false 2025-08-22T08:08:31.993+0000 2025-08-22T07:50:32.816+0000 2025-02-20T15:42:59.965+0000 true 10074398 Paczolay Gábor /api/author/10074398 Author Paczolay Gábor (Villamosmérnök) true 2025-08-22T07:50:29.187+0000 2025-08-22T07:50:29.187+0000 2025-08-22T07:50:32.820+0000 true 10072271 Andódy Katalin /api/admin/10072271 Admin Andódy Katalin (BME admin4) true true false true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType Könyvrészlet 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType Konferenciaközlemény (Könyvrészlet) 228 true 10000312 true 1 /api/category/1 Category Tudományos true 1 Paczolay, Gabor 129 134 129 6 2025 Many robotic tasks consist of several agents that are working on the same task with the same objective. In these tasks, it can be useful if the reinforcement learning architecture is not only suited to one configuration, but is invariant to agent numbers. Two utilization of this system would be a scalable realization and resilience to agent failure. In this paper, a novel multi-agent architecture is proposed with agent number invariance, utilizing Set Transformers. It is benchmarked on a robotic task where the agents are electromagnetic transmitters and they need to cover as large area as possible, where we achieve good results for the three-agent environment pretrained on four agents. © 2025 IEEE. true NATIONAL 2025 true true true true true false NONE 2025-08-22 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2025-05-21T14:43:00.599+0000 Irányítástechnika és Informatika Tanszék (BME / VIK) 2 5 1 2 0 true 547 true 10002 English /api/language/10002 Angol Language Angol true 2 false true 10939 true 10017 /api/country/10017 Country Amerikai Egyesült Államok true 13 /api/city/10939 City Piscataway (NJ), Amerikai Egyesült Államok true 2054246 true 28266592 /api/publicationidentifier/28266592 https://www.worldcat.org/search?q=isbn%3A9798350379365 9798350379365 PublicationIdentifier ISBN: 9798350379365 true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource ISBN true true 10002 /api/publicationsourcetype/10002 PublicationSourceType Egyéb true false 122 true false /api/publication/35705765 Szakál Anikó. IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025. (2025) ISBN:9798350379365 true true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book false true 35705765 true true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType Könyv 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType Konferenciakötet (Könyv) 345 true 10000144 false Book 2025 true 1 /api/category/1 Category Tudományos true 1 false Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 123443779 /api/authorship/123443779 Paczolay, Gabor [Paczolay, Gábor (Villamosmérnök), szerző] Irányítástechnika és Informatika Tanszék (BME / VIK) 1 0.5 true false Author 10074398 /api/author/10074398 Paczolay Gábor (Villamosmérnök) Paczolay Gábor true true Paczolay Gabor true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 123443780 /api/authorship/123443780 Harmati, Istvan [Harmati, István (Irányításelmélet), szerző] Irányítástechnika és Informatika Tanszék (BME / VIK) 2 0.5 false true Author 10012730 /api/author/10012730 Harmati István (Irányításelmélet) Harmati István true 10012730 true Harmati Istvan true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 29730931 /api/publicationidentifier/29730931 DOI: 10.1109/SAMI63904.2025.10883311 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SAMI63904.2025.10883311 https://doi.org/10.1109/SAMI63904.2025.10883311 false true PublicationIdentifier 29730930 /api/publicationidentifier/29730930 Scopus: 105013053062 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true 105013053062 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105013053062 false true Keyword 12426 /api/keyword/12426 reinforcement learning true 12426 true Keyword 1014180 /api/keyword/1014180 Intelligent agents true 1014180 true Keyword 1014501 /api/keyword/1014501 Intelligent robots true 1014501 true Keyword 1072171 /api/keyword/1072171 Multi agent systems true 1072171 true Keyword 1099527 /api/keyword/1099527 Electromagnetics true 1099527 true Keyword 1427322 /api/keyword/1427322 Deep learning true 1427322 true Keyword 1691539 /api/keyword/1691539 Deep reinforcement learning true true Keyword 1781468 /api/keyword/1781468 Learning architectures true true Keyword 2095320 /api/keyword/2095320 DQN true true Keyword 2227775 /api/keyword/2227775 robotic tasks true true Keyword 2370093 /api/keyword/2370093 Reinforcement learnings true true Keyword 2745299 /api/keyword/2745299 Reinforcement learning models true true Keyword 3410084 /api/keyword/3410084 Multiagent architecture true true Keyword 3898684 /api/keyword/3898684 Set Transformer true true Keyword 3898685 /api/keyword/3898685 Set transformer true true /api/publication/35775776 Paczolay Gabor et al. SetDQN: An Agent Number Invariant Reinforcement Learning Model Using Set Transformers. (2025) Megjelent: IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025 pp. 129-134<div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10074398"><a href="/gui2/?type=authors&mode=browse&sel=10074398" target="_blank">Paczolay Gabor (<span class="authorship-author-name">Paczolay Gábor</span> <span class="authorAux-mtmt"> Villamosmérnök</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Irányítástechnika és Informatika Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10012730"><a href="/gui2/?type=authors&mode=browse&sel=10012730" target="_blank">Harmati Istvan (<span class="authorship-author-name">Harmati István</span> <span class="authorAux-mtmt"> Irányításelmélet</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Irányítástechnika és Informatika Tanszék</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35775776" target="_blank">SetDQN: An Agent Number Invariant Reinforcement Learning Model Using Set Transformers</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" mtid="10039071"><a href="/gui2/?type=authors&mode=browse&sel=10039071" target="_blank">Szakál Anikó (<span class="authorship-author-name">Szakál Anikó</span> <span class="authorAux-mtmt"> műszaki informatika</span>) </a> </span> <span class="author-affil">Óbudai Egyetem</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;35705765" target="_blank">IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025 </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Stará Lesna, Szlovákia <span class="conference-date">2025.01.23. - 2025.01.25.</span> </div> <span class="publishedAt">Piscataway (NJ): <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="page"> pp 129-134 </span> <span class="year">(2025)</span> ( <span class="seriesTitle">Proceedings - International Symposium on Applied Machine Intelligence and Informatics, SAMI</span> <span class="issn">2836-0834</span> <span class="issn">2767-9438</span> ) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SAMI63904.2025.10883311" target="_blank" href="https://doi.org/10.1109/SAMI63904.2025.10883311"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="105013053062" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105013053062"> Scopus </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9798350379365" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9798350379365"> 9798350379365 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35775776</span> | <span class="status-data status-ADMIN_APPROVED"> Admin láttamozott </span> <span class="long-book-mtid">Befoglaló: 35705765</span> Forrás | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2025.08.22. 09:50 Andódy Katalin (BME admin4) </div> </div> </div>