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

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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Delft University of Technology logo

Usage statistics

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views
2
citations
565
downloads

Geolocation

Delft, The Netherlands

Interoperability

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

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

Files (2)