Project Details
| Acronym | Keep Learning |
|---|---|
| Status | Finished |
| Effective start/end date | 1/07/21 → 31/12/24 |
Funding
- EPSRC: £378,028.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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An evaluation of domain-agnostic representations to enable multi-task learning in combinatorial optimisation
Stone, C., Renau, Q., Miguel, I. & Hart, E., 3 Jan 2025, Learning and intelligent optimization: 18th international conference, LION 18, Ischia Island, Italy, June 9–13, 2024, revised selected papers. Festa, P., Ferone, D., Pastore, T. & Pisacane, O. (eds.). Cham: Springer Nature, p. 399-414 16 p. (Lecture notes in computer science; vol. 14990).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Athanor: Local search over abstract constraint specifications
Attieh, S., Dang, N., Jefferson, C., Miguel, I. J. & Nightingale, P., Mar 2025, In: Artificial Intelligence. 340, 39 p., 104277.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Cross-paradigm modelling: a study of Puzznic
Espasa, J., Gent, I. P., Miguel, I., Nightingale, P., Salamon, A. Z. & Villaret, M., 28 Jan 2025, Proceedings - 2024 IEEE 36th international conference on tools with artificial intelligence (ICTAI 2024). Piscataway, NJ: IEEE Computer Society, p. 89-95 7 p. 10849509. (Proceedings - International conference on tools with artificial intelligence (ICTAI)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
Datasets
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An Evaluation of Domain-Agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation (code)
Stone, C. L. (Creator) & Miguel, I. J. (Creator), GitHub, 2025
https://github.com/cls00/LION18-AlgoSelection
Dataset: Software
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Towards reformulating Essence specifications for robustness (code)
Akgun, O. (Creator), GitHub, 2021
https://github.com/stacs-cp/ModRef2021-robustness
Dataset: Software