Alternatives and similar repositories for MinimumVertexCover_DRL

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

• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆154Updated 9 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆134Updated 2 years ago
• unit8co / medium-tsp
  Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"
  ☆58Updated 5 years ago
• louisv123 / COLGE
  ☆37Updated 6 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
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆151Updated 5 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• google-research / tf-opt
  ☆40Updated 3 months ago
• qiang-ma / graph-pointer-network
  ☆163Updated 5 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆100Updated 2 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆194Updated 4 years ago
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆57Updated 5 years ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• wz26 / OpenGraphGym
  ☆9Updated 4 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
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆33Updated 7 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆84Updated 3 years ago
• google-deepmind / neural_lns
  ☆47Updated 3 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 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…
  ☆116Updated 5 years ago
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated 2 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆231Updated 3 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• idea-iitd / GCOMB
  ☆35Updated 2 years ago