Data and Results for paper End-to-end on-line rescheduling from Gantt chart images using Deep Reinforcement Learning

Jorge Palombarini

Description

In this dataset, the initial schedules used to perform the training and testing processes for the reference paper can be found. In addition, the results summarization archives are available.

Citations (0)

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Mentions (0)

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Metrics

Dataset Index

0.4

FAIR Score

65%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.17632/x9vdrdwyfh.1

Publisher

Mendeley

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Computer Vision and Pattern Recognition

Field

Computer Science

Domain

Physical Sciences

Confidence Score

47%

Source

Open Alex

Normalization Factors

57.69

CTw

1.00

MTw

1.00