Alternatives and similar repositories for rl2branch

Users that are interested in rl2branch are comparing it to the libraries listed below

• google-deepmind / neural_lns
  ☆46Updated 3 years ago
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆37Updated 8 months ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• lyeskhalil / mipGNN
  ☆26Updated 3 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆103Updated 2 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 3 years ago
• DIMESTeam / DIMES
  ☆42Updated 2 weeks ago
• khalil-research / RLCG
  ☆16Updated 2 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆53Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆40Updated 5 years ago
• ahottung / EAS
  Efficient Active Search
  ☆49Updated 3 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆61Updated 3 years ago
• wouterkool / dpdp
  DPDP
  ☆100Updated 2 years ago
• Spider-scnu / TSP
  ☆131Updated 2 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…
  ☆48Updated last year
• naver / bq-nco
  ☆39Updated last year
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆28Updated 2 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆47Updated 2 years ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated 2 years ago
• avrech / learning2cut
  Reinforcement Learning for Cut Selection
  ☆11Updated 2 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆26Updated 3 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆23Updated last year
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆25Updated last month
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆52Updated 4 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆21Updated 2 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• tumBAIS / euro-meets-neurips-2022
  ☆46Updated 11 months ago