aurelienbibaut / DQN_MVC
Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
☆33Updated 7 years ago
Alternatives and similar repositories for DQN_MVC:
Users that are interested in DQN_MVC are comparing it to the libraries listed below
- ☆37Updated 6 years ago
- ☆35Updated 2 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆98Updated 2 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated 8 months ago
- ☆28Updated 5 years ago
- ☆163Updated 5 years ago
- A curated list of graph reinforcement learning papers.☆70Updated 3 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆150Updated 5 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- 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
- ☆24Updated 2 years ago
- Too many to change, I would like to create a new repository and maintain it.☆11Updated 5 years ago
- A benchmarking suite for maximum independent set solvers.☆51Updated last year
- ☆11Updated 5 years ago
- ☆42Updated this week
- ☆31Updated 2 years ago
- ☆35Updated 5 years ago
- Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL☆76Updated 6 years ago
- Paper collection of reinforcement learning based combinatorial optimization☆51Updated 4 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- ☆131Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆26Updated 3 years ago
- Graph-based Reinforcement Learning☆16Updated 6 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆64Updated last year
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆37Updated 8 months ago
- Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling (official code repository)☆29Updated 2 years ago
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆22Updated 3 years ago
- Attention based model for learning to solve different routing problems☆40Updated 2 years ago