Imitation learning model and datasets: "A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP"
doi:10.4121/14054330.v1
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doi: 10.4121/14054330
doi: 10.4121/14054330
Datacite citation style:
Yilmaz, Kaan; Yorke-Smith, Neil (2021): Imitation learning model and datasets: "A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/14054330.v1
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Imitation learning model and datasets corresponding to the AI article "A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP".
history
- 2021-05-18 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP
funding
- Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization (grant code 952215) [more info...] European Commission
- Dutch Research Council Groot project OPTIMAL
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science
DATA
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