Alternatives and similar repositories for LOMAR

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

• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆40Updated 9 months ago
• lyeskhalil / CORL
  ☆25Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆27Updated 3 years ago
• idea-iitd / GCOMB
  ☆35Updated 2 years ago
• DIMESTeam / DIMES
  ☆42Updated 2 months ago
• Graph-COM / Meta_CO
  the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
  ☆9Updated 2 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆49Updated 3 years ago
• ZHANG-NI / AGFN
  ☆10Updated 4 months ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆28Updated last year
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• jiang-yuan / Learning-routing-DRO
  ☆21Updated 3 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• nik7273 / covid-pgmorl
  Multi-objective reinforcement learning for covid-19 control
  ☆11Updated 3 years ago
• WXY1427 / Learn-LNS-policy
  ☆32Updated 2 years ago
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• Thinklab-SJTU / ROCO
  Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…
  ☆20Updated 8 months ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆39Updated 3 years ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆15Updated 11 months ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• Bill-CJB / NHDE
  ☆24Updated last year
• BeloborodovDS / SIMCIM-RL
  Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
  ☆14Updated 5 years ago
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆33Updated 7 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆14Updated 3 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• naver / goal-co
  ☆36Updated last month
• liangxinedu / stepwise
  ☆21Updated 3 years ago
• triplej0079 / DeepIM
  ☆44Updated 2 years ago