ai4co / rl4coLinks
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
☆776Updated last month
Alternatives and similar repositories for rl4co
Users that are interested in rl4co are comparing it to the libraries listed below
Sorting:
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆232Updated 3 years ago
- Recent research papers about Foundation Models for Combinatorial Optimization☆441Updated last week
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆123Updated 2 years ago
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆179Updated last year
- A benchmarking repo with various solution methods to various machine scheduling problems☆168Updated 11 months ago
- An OpenAi Gym environment for the Job Shop Scheduling problem.☆234Updated 7 months ago
- Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"☆365Updated 3 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆239Updated 4 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆161Updated 3 years ago
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆68Updated 3 years ago
- Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arX…☆522Updated 5 years ago
- [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆103Updated last month
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆188Updated 4 years ago
- This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'☆265Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆99Updated 11 months ago
- Reinforcement learning approach for job shop scheduling☆295Updated 2 years ago
- A Collection on Large Language Models for Optimization☆324Updated this week
- Environments for OR and RL Research☆429Updated 2 years ago
- Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"☆61Updated 10 months ago
- Attention based model for learning to solve different routing problems☆1,320Updated last year
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆201Updated 5 years ago
- ☆134Updated 3 years ago
- Neural Combinatorial Optimization☆85Updated last month
- "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver☆200Updated 4 years ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆238Updated last month
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆90Updated 7 months ago
- Official implementation of H-TSP (AAAI2023)☆56Updated 9 months ago
- ☆315Updated 2 years ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆58Updated last year
- codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"☆74Updated 4 years ago