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@LearningToOptimize

LearningToOptimize

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LearningToOptimize is an organization dedicated to learning to optimize (L2O) — an emerging paradigm where machine learning models learn to solve optimization problems efficiently. This approach is also known as using optimization proxies or amortized optimization.

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  1. LearningToOptimize.jl LearningToOptimize.jl Public

    Learning to optimize (L2O) package that provides basic functionalities to help fit proxy models for optimization.

    Julia 14 1

  2. LearningToControlClass LearningToControlClass Public

    Optimal Control and Learning Course

    4 1

  3. DecisionRules.jl DecisionRules.jl Public

    Package for building decision rules in multistage stochastic problems.

    Julia 3

  4. BatchNLPKernels.jl BatchNLPKernels.jl Public

    GPU kernels for batches of ExaModels

    Julia 3

  5. L2OALM.jl L2OALM.jl Public

    Learning To Optimize using the Augmented Lagrangian Primal-Dual Method.

    Julia 3

  6. L2ODLL.jl L2ODLL.jl Public

    Learning to Optimize with Dual Lagrangian Learning

    Julia 2

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