JuliaDecisionFocusedLearning/DecisionFocusedLearningBenchmarks.jl
Benchmark problems for decision-focused learning
This collection helps researchers and practitioners in optimization and machine learning evaluate and compare different Decision-Focused Learning (DFL) algorithms. It provides standardized datasets, statistical models, and combinatorial optimizers that can be fed into any DFL training algorithm. It is for those who are developing or testing DFL approaches.
Use this if you need pre-built, diverse problem settings to rigorously test and benchmark the performance of new or existing Decision-Focused Learning algorithms.
Not ideal if you are looking for a standalone DFL solution to a specific real-world problem, rather than a toolkit for algorithm evaluation.
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Julia
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MIT
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Last pushed
Mar 12, 2026
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