Alternatives and similar repositories for L2O-Solver-Papers

Users that are interested in L2O-Solver-Papers are comparing it to the libraries listed below

• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆81Updated 5 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆165Updated 5 years ago
• qiang-ma / graph-pointer-network
  ☆163Updated 5 years ago
• rlopt / l2i
  ☆109Updated 5 years ago
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆153Updated 5 years ago
• Spider-scnu / TSP
  ☆134Updated 3 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆103Updated 2 years ago
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆101Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 4 years ago
• wouterkool / dpdp
  DPDP
  ☆104Updated 2 years ago
• liangxinedu / MDAM
  ☆54Updated 4 years ago
• ahottung / EAS
  Efficient Active Search
  ☆53Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆57Updated 6 months ago
• WXY1427 / Learn-LNS-policy
  ☆34Updated 3 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆201Updated 5 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆239Updated 4 years ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆117Updated last year
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆58Updated 5 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆62Updated 3 years ago
• water-mirror / NeuLNS
  Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…
  ☆96Updated 4 years ago
• liangxinedu / NeuroLKH
  ☆80Updated 3 years ago
• machine-reasoning-ufrgs / TSP-GNN
  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…
  ☆119Updated 5 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆50Updated 3 years ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆66Updated 3 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆51Updated 4 years ago
• haiguanl / RLCO-Papers
  Paper collection of reinforcement learning based combinatorial optimization
  ☆55Updated 4 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆28Updated 4 years ago
• pengguo318 / RoutingProblemGANN
  ☆51Updated 3 years ago
• louisv123 / COLGE
  ☆38Updated 6 years ago