Genetic Programming Bibliography entries for Mickael Dardaillon

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GP coauthors/coeditors: Karol Desnos, Thomas Bourgoin, Nicolas Sourbier, Olivier Gesny, Maxime Pelcat, Quentin Vacher, Nicolas Beuve, Paul Allaire, Thibaut Marty, Stephen Kelly, Ali Naqvi, Tanya Djavaherpour,

Genetic Programming conference papers by Mickael Dardaillon

• Quentin Vacher and Stephen Kelly and Ali Naqvi and Nicolas Beuve and Tanya Djavaherpour and Mickael Dardaillon and Karol Desnos. MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference, pages 1062-1071, Malaga, Spain, 2025. Association for Computing Machinery. details

• Quentin Vacher and Nicolas Beuve and Paul Allaire and Thibaut Marty and Mickael Dardaillon and Karol Desnos. Hybrid Genetic Programming and Deep Reinforcement Learning for Low-Complexity Robot Arm Trajectory Planning. In Francesco Marcelloni and Kurosh Madani and Niki van Stein and Joaquim Filipe editors, Proceedings of the 16th International Joint Conference on Computational Intelligence, IJCCI 2024, Porto, Portugal, November 20-22, 2024, pages 139-150, 2024. SCITEPRESS. details

• Karol Desnos and Thomas Bourgoin and Mickael Dardaillon and Nicolas Sourbier and Olivier Gesny and Maxime Pelcat. Ultra-Fast Machine Learning Inference through C Code Generation for Tangled Program Graphs. In 2022 IEEE Workshop on Signal Processing Systems (SiPS), Rennes, France, 2022. details