Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization: improving generalization

Συγγραφείς: Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer

Πηγή: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :563-566

Θεματικοί όροι: izbira algoritmov, FOS: Computer and information sciences, reinforcement learning, instance selection, Computer Science - Machine Learning, dynamic algorithm configuration, generalization, Machine Learning (cs.LG)

Περιγραφή αρχείου: text/url; application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2407.13513
https://dirros.openscience.si/IzpisGradiva.php?id=20445
https://doi.org/10.1145/3638530.3654291
https://hdl.handle.net/20.500.12556/DiRROS-20445

Dynamic Online Parameter Configuration of Genetic Algorithms Using Reinforcement Learning

Συγγραφείς: Oliveira, Vítor^Aff12, Pinto, Tiago^Aff13, Ramos, Carlos^Aff12

Συνεισφορές: Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Santos, Manuel Filipe, editor^Aff7, Machado, José, editor^Aff8, Novais, Paulo, editor^Aff9, Cortez, Paulo, editor^Aff10, Moreira, Pedro Miguel, editor^Aff11

Πηγή: Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II. 14968:172-183

Accelerate Evolution Strategy by Proximal Policy Optimization

Συγγραφείς: Xu, Tao, Chen, Hongyang Chen, He, Jun

Πηγή: Proceedings of the Genetic and Evolutionary Computation Conference. :1064-1072

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3638529.3654090

Estratégias de aprendizagem por reforço para configuração dinâmica de meta-heurísticas

Reinforcement learning strategies for dynamic configuration of metaheuristics

Συγγραφείς: Oliveira, Vítor José Henriques

Συνεισφορές: Pinto, Tiago Manuel Campelos Ferreira, Ramos, Carlos Fernando da Silva, REPOSITÓRIO P.PORTO

Πηγή: urn:tid:203734378

Θεματικοί όροι: Algoritmo genético, Aprendizagem máquina, Aprendizagem por reforço, Configuração dinâmica de algoritmos, DAC, Otimização por enxame de partículas, SARSA, Deep-SARSA, Dynamic algorithm configuration, Reinforcement learning, Genetic algorithm, Particle swarm optimization, Machine learning

Περιγραφή αρχείου: application/pdf

Διαθεσιμότητα: http://hdl.handle.net/10400.22/26902

A Dynamic Algorithm Configuration Framework Using Combinatorial Problem Features and Reinforcement Learning

Συγγραφείς: Steiner, Elmar^Aff29, Pferschy, Ulrich^Aff29

Συνεισφορές: Hartmanis, Juris, Founding Editor^Aff1, van Leeuwen, Jan, Series Editor^Aff2, Hutchison, David, Editorial Board Member^Aff3, Kanade, Takeo, Editorial Board Member^Aff4, Kittler, Josef, Editorial Board Member^Aff5, Kleinberg, Jon M., Editorial Board Member^Aff6, Kobsa, Alfred, Series Editor^Aff7, Mattern, Friedemann, Editorial Board Member^Aff8, Mitchell, John C., Editorial Board Member^Aff9, Naor, Moni, Editorial Board Member^Aff10, Nierstrasz, Oscar, Series Editor^Aff11, Pandu Rangan, C., Editorial Board Member^Aff12, Sudan, Madhu, Series Editor^Aff13, Terzopoulos, Demetri, Editorial Board Member^Aff14, Tygar, Doug, Editorial Board Member^Aff15, Weikum, Gerhard, Series Editor^Aff16, Vardi, Moshe Y, Series Editor^Aff17, Goos, Gerhard, Founding Editor^Aff18, Bertino, Elisa, Editorial Board Member^Aff19, Gao, Wen, Editorial Board Member^Aff20, Steffen, Bernhard, Editorial Board Member^Aff21, Yung, Moti, Editorial Board Member^Aff22, Woeginger, Gerhard, Editorial Board Member^Aff23, Sevaux, Marc, editor^Aff24, Olteanu, Alexandru-Liviu, editor^Aff25, Pardo, Eduardo G., editor^Aff26, Sifaleras, Angelo, editor^Aff27, Makboul, Salma, editor^Aff28

Πηγή: Metaheuristics : 15th International Conference, MIC 2024, Lorient, France, June 4–7, 2024, Proceedings, Part II. 14754:142-157

Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning

Συγγραφείς: Nguyen, Tai, Le, Phong, Doerr, Carola, Dang, Nguyen

Πηγή: Nguyen , T , Le , P , Doerr , C & Dang , N 2025 , Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning . in Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms . ACM , Conference on Foundations of Genetic Algorithms , Leiden , Netherlands , 27/08/25 . https://doi.org/10.1145/3729878.3746703

Θεματικοί όροι: Deep reinforcement learning, Dynamic algorithm configuration, Optimisation

Διαθεσιμότητα: https://research-portal.st-andrews.ac.uk/en/publications/f6c918e8-0d5a-45b5-ab32-78022b6d065a
https://doi.org/10.1145/3729878.3746703
https://dl.acm.org/conference/foga
https://arxiv.org/abs/2505.12982

Instance selection for dynamic algorithm configuration with reinforcement learning ; Instance selection for dynamic algorithm configuration with reinforcement learning: improving generalization

Συγγραφείς: Benjamins, Carolin, Cenikj, Gjorgjina, Nikolikj, Ana, Mohan, Aditya, Eftimov, Tome, Lindauer, Marius

Πηγή: GECCO'24 companion, pp. 563-566, 2024. ; ISBN: 979-8-4007-0495-6 ; ZDA

Θεματικοί όροι: dynamic algorithm configuration, reinforcement learning, instance selection, generalization, izbira algoritmov, info:eu-repo/classification/udc/004.8

Περιγραφή αρχείου: text/url; application/pdf

Relation: info:eu-repo/grantAgreement/ARRS//P2-0098; info:eu-repo/grantAgreement/ARRS//J2-4460; info:eu-repo/grantAgreement/ARRS/young researcher grant/PR-12393; info:eu-repo/grantAgreement/ARRS/young researcher grant/PR-12897; info:eu-repo/grantAgreement/other//57654659; https://dirros.openscience.si/IzpisGradiva.php?id=20445; https://dirros.openscience.si/Dokument.php?id=28794&dn=; https://dirros.openscience.si/Dokument.php?id=28799&dn=; https://plus.cobiss.net/cobiss/si/sl/bib/206992131

Διαθεσιμότητα: https://dirros.openscience.si/IzpisGradiva.php?id=20445
https://dirros.openscience.si/Dokument.php?id=28794&dn=
https://dirros.openscience.si/Dokument.php?id=28799&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/206992131
https://hdl.handle.net/20.500.12556/DiRROS-20445

Estratégias de aprendizagem por reforço para configuração dinâmica de meta-heurísticas ; Reinforcement learning strategies for dynamic configuration of metaheuristics

Συγγραφείς: Oliveira, Vítor José Henriques

Συνεισφορές: Pinto, Tiago Manuel Campelos Ferreira, Ramos, Carlos Fernando da Silva

Θεματικοί όροι: Algoritmo genético, Aprendizagem máquina, Aprendizagem por reforço, Configuração dinâmica de algoritmos, DAC, Otimização por enxame de partículas, SARSA, Deep-SARSA, Dynamic algorithm configuration, Reinforcement learning, Genetic algorithm, Particle swarm optimization, Machine learning, Domínio/Área Científica::Engenharia e Tecnologia

Relation: http://hdl.handle.net/10400.22/26902; 203734378

Διαθεσιμότητα: http://hdl.handle.net/10400.22/26902