‪Mikel Malagón Azpeitia‬ - ‪Google Scholar‬

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Josu CeberioAssociate Professor at University of the Basque CountryVerified email at ehu.eus
Ekhine IrurozkiTelecom ParisVerified email at telecom-paris.fr
Jose A. LozanoBasque Center for Applied Mathematics (BCAM), University of the Basque Country UPV/EHUVerified email at ehu.eus

Mikel Malagón Azpeitia

Mikel Malagón Azpeitia

University of the Basque Country UPV/EHU

Verified email at ehu.eus - Homepage

deep learning reinforcement learning combinatorial optimization


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Evolving neural networks in reinforcement learning by means of UMDAc M Malagon, J Ceberio arXiv preprint arXiv:1904.10932, 2019	5	2019
Alternative representations for codifying solutions in permutation-based problems M Malagon, E Irurozki, J Ceberio 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020	4	2020
Craftium: An Extensible Framework for Creating Reinforcement Learning Environments M Malagón, J Ceberio, JA Lozano arXiv preprint arXiv:2407.03969, 2024		2024
A combinatorial approach for profile guided optimization with metaheuristics M Malagón Azpeitia		2022
Self-Composing Policies for Scalable Continual Reinforcement Learning M Malagon, J Ceberio, JA Lozano Forty-first International Conference on Machine Learning, 0
A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models M Malagón, E Irurozki, J Ceberio ACM Transactions on Evolutionary Learning, 0

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