A novel optimization perspective to the problem of designing sequences of tasks in a reinforcement learning framework

DOI10.1007/S11081-021-09708-XOpenAlexW4206188910MaRDI QIDQ6173774

Simone Sagratella, Francesco Foglino, Matteo Leonetti, Ruggiero Seccia

Publication date: 13 July 2023

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-021-09708-x

zbMATH Keywords

black-box optimizationcurriculum learningsequential model-based optimization(deep) reinforcement learning

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Cites Work

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• A DIRECT-type approach for derivative-free constrained global optimization
• Mixed-integer nonlinear optimization
• Advanced Lectures on Machine Learning

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