Alternatives and similar repositories for RLCG:

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

• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆40Updated 2 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆51Updated 2 years ago
• lascavana / rl2branch
  ☆17Updated 5 months ago
• mouadmorabit / MLColumnSelection
  Machine-learning-based column selection
  ☆35Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• google-deepmind / neural_lns
  ☆44Updated 3 years ago
• khalil-research / Multi-Task_Predict-then-Optimize
  Multi-task end-to-end predict-then-optimize
  ☆12Updated last year
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆49Updated 3 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆97Updated last year
• naver / bq-nco
  ☆39Updated last year
• khalil-research / Neur2RO
  ☆25Updated 4 months ago
• paulorocosta / ai-for-tsp-competition
  This is the official repository of the AI for TSP competition at IJCAI 2021
  ☆23Updated 2 years ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆52Updated 9 months ago
• ahottung / EAS
  Efficient Active Search
  ☆49Updated 3 years ago
• vidalt / Districting-Routing
  Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. …
  ☆24Updated 7 months ago
• goerigk / RO-DNN
  Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz
  ☆23Updated 3 years 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…
  ☆46Updated last year
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 7 months ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated 2 years ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆24Updated this week
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆32Updated 7 months ago
• jiang-yuan / Learning-routing-DRO
  ☆20Updated 3 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• lyeskhalil / mipGNN
  ☆24Updated 3 years ago
• google-research / tf-opt
  ☆39Updated 4 months ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆48Updated this week
• LucasBoTang / PyEPO-PredOpt-Chinese-Tutorial
  ☆10Updated 10 months ago