NatLabRockies / graph-envLinks
Reinforcement learning for combinatorial optimization over directed graphs
☆43Updated 2 years ago
Alternatives and similar repositories for graph-env
Users that are interested in graph-env are comparing it to the libraries listed below
Sorting:
- Population-Based Reinforcement Learning for Combinatorial Optimization☆87Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆66Updated 2 years ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆42Updated last year
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆81Updated 5 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆139Updated 3 years ago
- Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.☆38Updated 2 years ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆42Updated 3 years ago
- The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is de…☆55Updated this week
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆29Updated 2 weeks ago
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆86Updated 4 years ago
- [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆105Updated 2 months ago
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆38Updated 2 months ago
- ☆43Updated 2 years ago
- RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomo…☆37Updated 3 months ago
- ☆28Updated 2 years ago
- Efficient Active Search☆53Updated 3 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆239Updated 4 years ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆201Updated 5 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆124Updated 2 years ago
- ☆42Updated last week
- ☆134Updated 3 years ago
- A library for mean-field games.☆59Updated last week
- Reinforcement Learning Environments for Sustainable Energy Systems☆61Updated 5 months ago
- This is the official repository of the AI for TSP competition at IJCAI 2021☆27Updated 3 years ago
- Neural Combinatorial Optimization☆90Updated this week
- DPDP☆105Updated 3 years ago
- [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆30Updated 2 months ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 6 years ago
- reinforcement learning with pytorch geometric library☆51Updated 4 years ago
- Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".☆13Updated 3 years ago