NREL / graph-envLinks
Reinforcement learning for combinatorial optimization over directed graphs
☆40Updated last year
Alternatives and similar repositories for graph-env
Users that are interested in graph-env are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆64Updated 2 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆73Updated last year
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆38Updated 11 months ago
- ☆26Updated 4 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆135Updated 2 years ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆27Updated 2 months ago
- ☆11Updated 3 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- ☆42Updated last month
- Combining Reinforcement Learning with Integer Programming for Robust Scheduling☆27Updated last year
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆68Updated 3 weeks ago
- ☆9Updated 4 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆37Updated 2 years ago
- ☆47Updated 3 years ago
- ☆37Updated 6 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆26Updated 3 years ago
- Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.☆34Updated 2 years ago
- Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".☆14Updated 2 years ago
- ☆40Updated last year
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆22Updated last month
- ☆39Updated 2 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- ☆25Updated last year
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆28Updated 2 years ago
- The Neural Combinatorial Optimization Library (NCOLib) is an accessible software library designed to simplify the application of neural n…☆12Updated 2 weeks ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆19Updated 6 months ago