Reinforcement Learning Accelerated With Artificial Neural Network for Maze and Search Problems

Basit Öğe Kaydı
dc.contributor.authorHacıbeyoğlu, Mehmet
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T18:04:54Z
dc.date.available2020-03-26T18:04:54Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description3rd Annual International Conference on Human System Interaction (HSI) -- MAY 13-15, 2010 -- Rzeszow, POLANDen_US
dc.description.abstractReinforcement learning is the problem faced by an agent that must learn behaviour through trial and error interactions with a dynamic environment that lacks the educational examples. Q-learning is one of the most popular algorithms among the reinforcement learning methods. Artificial neural network, as in reinforcement learning, is a sub-entry of machine learning, which can be applied on real frames, the environment of which we do not have sufficient information. Our aim is to enable an autonomous agent placed in a maze to find the shortest path to the target by combining q learning and artificial neural network.en_US
dc.description.sponsorshipIEEE, Univ Informat Technol & Management, IESen_US
dc.identifier.citationHacıbeyoğlu, M., Arslan, A., (2010). Reinforcement Learning Accelerated With Artificial Neural Network for Maze and Search Problems. 3rd International Conference on Human System Interaction, 124-127.
dc.identifier.endpage127en_US
dc.identifier.isbn978-1-4244-7562-9
dc.identifier.issn2158-2246en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage124en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25209
dc.identifier.wosWOS:000416070000020en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorHacıbeyoğlu, Mehmet
dc.institutionauthorArslan, Ahmet
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof3rd International Conference on Human System Interactionen_US
dc.relation.ispartofseriesConference on Human System Interaction
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networksen_US
dc.subjectMaze and search problemsen_US
dc.subjectQ-learningen_US
dc.subjectReinforcement learningen_US
dc.titleReinforcement Learning Accelerated With Artificial Neural Network for Maze and Search Problemsen_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
5209.pdf
Boyut:
639.23 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Makale Dosyası
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü/Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu