Heuristic reinforcement learning applied to RoboCup simulation agents
dc.contributor.author | CELIBERTO JUNIOR, L. A. | |
dc.contributor.author | RIBEIRO, C. H. C. | |
dc.contributor.author | COSTA A. H. R. | |
dc.contributor.author | Reinaldo Bianchi | |
dc.contributor.authorOrcid | https://orcid.org/0000-0001-9097-827X | |
dc.date.accessioned | 2022-01-12T22:04:55Z | |
dc.date.available | 2022-01-12T22:04:55Z | |
dc.date.issued | 2008-07-10 | |
dc.description.abstract | This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning algorithm, the Heuristically Accelerated Q-Learning (HAQL). This algorithm allows the use of heuristics to speed up the well-known Reinforcement Learning algorithm Q-Learning. A heuristic function that influences the choice of the actions characterizes the HAQL algorithm. A set of empirical evaluations was conducted in the RoboCup 2D Simulator, and experimental results show that even very simple heuristics enhances significantly the performance of the agents. © 2008 Springer-Verlag Berlin Heidelberg. | |
dc.description.firstpage | 220 | |
dc.description.lastpage | 227 | |
dc.description.volume | 5001 LNAI | |
dc.identifier.citation | CELIBERTO JUNIOR, L. A.; RIBEIRO, C. H. C.; COSTA A. H. R.;BIANCHI, R. Heuristic reinforcement learning applied to RoboCup simulation agents. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 220-227, July, 2008. | |
dc.identifier.doi | 10.1007/978-3-540-68847-1_19 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://repositorio.fei.edu.br/handle/FEI/4304 | |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.rights | Acesso Aberto | |
dc.subject.otherlanguage | Cognitive Robotics | |
dc.subject.otherlanguage | Reinforcement Learning | |
dc.subject.otherlanguage | RoboCup Simulation 2D | |
dc.title | Heuristic reinforcement learning applied to RoboCup simulation agents | |
dc.type | Artigo de evento | |
fei.scopus.citations | 18 | |
fei.scopus.eid | 2-s2.0-50249177133 | |
fei.scopus.subject | Cognitive Robotics | |
fei.scopus.subject | Empirical evaluations | |
fei.scopus.subject | International symposium | |
fei.scopus.subject | Q-Learning | |
fei.scopus.subject | Reinforcement Learning algorithms | |
fei.scopus.subject | RoboCup | |
fei.scopus.subject | RoboCup simulation | |
fei.scopus.subject | RoboCup Simulation 2D | |
fei.scopus.subject | Robot-soccer | |
fei.scopus.subject | Robotic agents | |
fei.scopus.subject | Speed ups | |
fei.scopus.subject | World Cup | |
fei.scopus.updated | 2024-07-01 | |
fei.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50249177133&origin=inward |
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