A Gray-Box Approach for Curriculum Learning

Foglino, F, Leonetti, M orcid.org/0000-0002-3831-2400, Sagratella, S et al. (1 more author) (2019) A Gray-Box Approach for Curriculum Learning. In: Le Thi, H, Le, H and Pham Dinh, T, (eds.) Advances in Intelligent Systems and Computing. 6th World Congress on Global Optimization (WGCO 2019): Optimization of Complex Systems: Theory, Models, Algorithms and Applications, 08-10 Jul 2019, Metz, France. Springer Verlag , pp. 720-729. ISBN 9783030218027



Copyright, Publisher and Additional Information: © 2020, Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of a conference paper published in Advances in Intelligent Systems and Computing. The final authenticated version is available online at: http://doi.org/10.1007/978-3-030-21803-4_72.
Keywords: Curriculum learning; Reinforcement learning; Black-box optimization; Scheduling problem
  • Accepted: 14 March 2019
  • Published (online): 15 June 2019
  • Published: 15 June 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 26 Jul 2019 11:24
Last Modified: 15 Jun 2020 00:40
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-3-030-21803-4_72