Alternatives and similar repositories for decision-focused-RL

Users that are interested in decision-focused-RL are comparing it to the libraries listed below

• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• HxSun08 / Alt-Diff
  ☆25Updated last year
• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆16Updated 2 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆20Updated last year
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆51Updated last year
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆20Updated 3 years ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated 2 years ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆46Updated 3 months ago
• stellatogrp / mro_experiments
  ☆28Updated 3 months ago
• lascavana / rl2branch
  ☆18Updated 8 months ago
• AndyZhang92 / DRO-Portfolio-Opt
  ☆15Updated 4 years ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆38Updated 6 years ago
• khalil-research / Neur2RO
  ☆26Updated 7 months ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated last year
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆12Updated 2 years ago
• jihwan-jeong / xaddpy
  ☆13Updated last year
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year
• INFERLab / PROF
  ☆12Updated 3 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• AI4OPT / ML4OPF
  Machine Learning for Optimal Power Flow in PyTorch
  ☆18Updated 3 months ago
• pnnl / L2O-pMINLP
  Learning-to-Optimize for Mixed-Integer Non-Linear Programming
  ☆37Updated 2 weeks ago
• antoinedesir / RUMnet
  ☆9Updated last year
• cvxpy / cvxtorch
  Convert CVXPY expressions to PyTorch expressions
  ☆16Updated 2 weeks ago
• Graph-COM / DIG_MILP
  The official implementation of DIG-MILP
  ☆14Updated last year
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆19Updated 3 years ago
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated last year
• ha0ransun / Path-Auxiliary-Sampler
  ☆11Updated 2 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆64Updated 2 years ago