Alternatives and similar repositories for DQN_MVC

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

• louisv123 / COLGE
  ☆37Updated 6 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 5 years ago
• qiang-ma / graph-pointer-network
  ☆164Updated 5 years ago
• idea-iitd / GCOMB
  ☆35Updated 2 years ago
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆151Updated 5 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆101Updated 2 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆154Updated last year
• 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…
  ☆118Updated 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
• 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
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 6 years ago
• SunQingYun1996 / Graph-Reinforcement-Learning-Papers
  A curated list of graph reinforcement learning papers.
  ☆72Updated 3 years ago
• alexnowakvila / QAP_pt
  ☆28Updated 5 years ago
• DavidLee-4032 / Graph_Opt
  Too many to change, I would like to create a new repository and maintain it.
  ☆11Updated 6 years ago
• lyeskhalil / CORL
  ☆25Updated 3 years ago
• LASP-UCL / Graph-RL
  Graph-based Reinforcement Learning
  ☆16Updated 7 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 4 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆28Updated 4 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆235Updated 4 years ago
• Spider-scnu / TSP
  ☆132Updated 2 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago
• haiguanl / RLCO-Papers
  Paper collection of reinforcement learning based combinatorial optimization
  ☆55Updated 4 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• hanxiongwei / L2O-Solver-Papers
  ☆11Updated 5 years ago
• Hanjun-Dai / graph_comb_opt
  Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
  ☆509Updated 6 years ago
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆65Updated 2 years ago
• chaitjo / graph-convnet-tsp
  Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…
  ☆324Updated 3 years ago
• liangxinedu / stepwise
  ☆21Updated 4 years ago
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated 3 years ago