paulorocosta / learning-2opt-drlLinks
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
☆53Updated 4 years ago
Alternatives and similar repositories for learning-2opt-drl
Users that are interested in learning-2opt-drl are comparing it to the libraries listed below
Sorting:
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆96Updated 2 years ago
- ☆53Updated 3 years ago
- ☆56Updated 2 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆111Updated 2 years ago
- ☆131Updated 2 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆113Updated last year
- ☆108Updated 5 years ago
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆61Updated 3 years ago
- Efficient Active Search☆52Updated 3 years ago
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆60Updated 2 years ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆148Updated 2 years ago
- A Reinforcement Learning Approach to the Orienteering Problem with Time Windows☆25Updated 3 years ago
- Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…☆94Updated 4 years ago
- ☆49Updated 2 years ago
- "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver☆180Updated 3 years ago
- DPDP☆101Updated 2 years ago
- Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem☆95Updated 4 years ago
- Official implementation of H-TSP (AAAI2023)☆52Updated 3 months ago
- My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"☆44Updated 5 years ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆55Updated last year
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆202Updated 2 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆71Updated 3 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆52Updated last month
- Implementation for the paper "A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems".☆41Updated last year
- Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"☆43Updated 2 years ago
- "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver☆192Updated 4 years ago
- PyTorch implementation of GCN-NPEC in "Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach"☆46Updated 2 years ago
- ☆79Updated 2 years ago
- ☆24Updated 3 years ago
- Multi-Depot Vehicle Routing Problem solver using Deep RL, GA and Google OR-Tools☆75Updated 4 years ago