aldantas / HH-RLLinks
Reinforcement Learning agents for a selection Hyper-Heuristic
☆10Updated 2 years ago
Alternatives and similar repositories for HH-RL
Users that are interested in HH-RL are comparing it to the libraries listed below
Sorting:
- DRL for Dynamic Vehicle Routing Problem with stochastic customer requests☆23Updated last year
- ☆17Updated 2 years ago
- [ICAPS 2024] DR-ALNS: Deep Reinforced Adaptive Large Neighborhood Search☆30Updated 2 months ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆114Updated last year
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆63Updated 3 years ago
- ☆25Updated last year
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆81Updated 3 months ago
- ☆54Updated 4 years ago
- [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization☆166Updated 11 months ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆97Updated 2 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆52Updated 3 months ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆55Updated last year
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆30Updated 5 months ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆92Updated 7 months ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆153Updated 2 years ago
- ☆79Updated 3 years ago
- implementation of our IJCAI'24 paper "Cross-Problem Learning for Solving Vehicle Routing Problems".☆16Updated last year
- This library provides a comprehensive suite of algorithms to solve the Travelling Salesman Problem (TSP), ranging from Exact Algorithms, …☆125Updated last month
- ☆49Updated 3 years ago
- ☆25Updated 3 years ago
- PyTorch implementation of GCN-NPEC in "Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach"☆47Updated 2 years ago
- Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention☆28Updated 3 years ago
- ☆21Updated last year
- Reinforcement learning for vrptw☆34Updated 5 years ago
- ☆30Updated last year
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆51Updated last year
- ☆56Updated 2 years ago
- Implementation for the paper "A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems".☆42Updated last year
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆95Updated 4 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆95Updated 5 years ago