Hierarchical deep reinforcement learning for combinatorial optimization problem
☆34Sep 26, 2019Updated 6 years ago
Alternatives and similar repositories for HRL-for-combinatorial-optimization
Users that are interested in HRL-for-combinatorial-optimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆163Dec 11, 2019Updated 6 years ago
- ☆35Apr 22, 2020Updated 5 years ago
- This is the official repository of the AI for TSP competition at IJCAI 2021☆27Nov 22, 2022Updated 3 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆32Dec 17, 2020Updated 5 years ago
- paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation☆10Mar 27, 2018Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆18Mar 21, 2019Updated 7 years ago
- Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization☆202Jul 29, 2020Updated 5 years ago
- Hybrid Pointer Networks for Traveling Salesman Problems Optimization☆29Oct 13, 2022Updated 3 years ago
- pytorch neural combinatorial optimization☆389Dec 26, 2017Updated 8 years ago
- PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper☆26Feb 14, 2022Updated 4 years ago
- A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.☆14Aug 14, 2020Updated 5 years ago
- ☆25Jun 17, 2022Updated 3 years ago
- Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data☆57Jul 12, 2025Updated 8 months ago
- An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…☆101Nov 7, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Opti…☆43Dec 22, 2017Updated 8 years ago
- Mirror of ETSI OSM's vim-emu (https://osm.etsi.org/gitweb/?p=osm/vim-emu.git;a=summary)☆19Feb 14, 2021Updated 5 years ago
- Reinforcement Learning for Solving the Vehicle Routing Problem☆707May 5, 2021Updated 4 years ago
- Attention based model for learning to solve different routing problems☆43Jun 21, 2022Updated 3 years ago
- PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940☆605May 29, 2018Updated 7 years ago
- ☆12Nov 1, 2019Updated 6 years ago
- Incremental vertex representation learning using random walks and skip-gram model.☆12Jan 22, 2019Updated 7 years ago
- DPDP☆105Jan 2, 2023Updated 3 years ago
- Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"☆515May 25, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆15Jan 26, 2023Updated 3 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Feb 12, 2021Updated 5 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 4 years ago
- PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplor…☆66Oct 28, 2019Updated 6 years ago
- ☆28Sep 15, 2023Updated 2 years ago
- A modular Python package for the development of metaheuristic algorithms for Vehicle Routing Problems with Intermediate Stops☆29Dec 27, 2023Updated 2 years ago
- TF2 implementation of "Attention, Learn to Solve Routing Problems!" (arXiv:1803.08475) article.☆40Jul 6, 2020Updated 5 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆32Sep 25, 2022Updated 3 years ago
- IMDB metadata to markdown for Obsidian☆10Jan 21, 2022Updated 4 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques☆12Aug 4, 2025Updated 7 months ago
- ☆12Oct 25, 2020Updated 5 years ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆58Oct 20, 2020Updated 5 years ago
- Decomposition Strategies for Vehicle Routing Heuristics☆33Nov 25, 2023Updated 2 years ago
- Attention based model for learning to solve different routing problems☆1,344Aug 4, 2024Updated last year
- MODPSO code for paper "Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition"☆13Oct 22, 2019Updated 6 years ago
- A Julia wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)☆17Jan 23, 2026Updated 2 months ago