Alternatives and similar repositories for retro_branching:

Users that are interested in retro_branching are comparing it to the libraries listed below

• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆91Updated last year
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆35Updated 5 years ago
• lascavana / rl2branch
  ☆17Updated 3 months ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆47Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• khalil-research / RLCG
  ☆14Updated 2 years ago
• WXY1427 / Learn-LNS-policy
  ☆30Updated 2 years ago
• zhangzizhen / ML-DAM
  ☆24Updated 3 years ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆182Updated 4 months ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆58Updated 3 months ago
• Spider-scnu / TSP
  ☆124Updated 2 years ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆45Updated last week
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆59Updated 2 years ago
• pengguo318 / RoutingProblemGANN
  ☆43Updated 2 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆61Updated last year
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 4 months ago
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆40Updated last year
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆166Updated 2 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆95Updated last year
• google-deepmind / neural_lns
  ☆42Updated 2 years ago
• yimengmin / UTSP
  code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
  ☆46Updated 8 months ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆46Updated last year
• EaseOnway / Explainable-Causal-Reinforcement-Learning
  Explainable Causal Reinforcement Learning with attention
  ☆25Updated last year
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆127Updated 2 years ago
• naver / bq-nco
  ☆35Updated last year
• ricgama / maenvs4vrp
  Multi-agent environments library for simulating classic vehicle routing problems.
  ☆10Updated last month
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆55Updated last year
• DanieleGammelli / gnn-rl-for-amod
  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
  ☆73Updated 3 years ago
• liangxinedu / MDAM
  ☆50Updated 3 years ago