Awesome machine learning for combinatorial optimization papers.
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Nov 7, 2025 - Python
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combinatorial-optimization
Here are 180 public repositories matching this topic...
A research protocol for deep graph matching.
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May 30, 2025 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
benchmark reinforcement-learning scheduling hydra attention vehicle-routing-problem tsp operations-research cvrp combinatorial-optimization attention-model neural-combinatorial-optimization electronic-design-automation pytorch-lightning torchrl tensordict
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Jul 1, 2025 - Python
A Python Graph Matching Toolkit.
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Sep 9, 2025 - Python
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
deep-learning pytorch combinatorial-optimization travelling-salesman-problem geometric-deep-learning graph-neural-networks
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Feb 10, 2022 - Python
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…
reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm generative-adversarial-network semi-supervised-learning restricted-boltzmann-machine transfer-learning simulated-annealing deep-q-network automatic-summarization combinatorial-optimization quantum-monte-carlo auto-encoder quantum-annealing energy-based-model self-supervised-learning multi-agent-reinforcement-learning
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Dec 26, 2023 - Python
An OpenAi Gym environment for the Job Shop Scheduling problem.
reinforcement-learning deep-reinforcement-learning openai-gym combinatorial-optimization job-shop-schedulling openai-gym-environment job-shop-scheduling-problem reinforcement-learning-environments
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May 20, 2025 - Python
Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.
reinforcement-learning combinatorial-optimization evolutionary-search large-language-models llm algorithm-discovery
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Oct 26, 2025 - Python
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
python genetic-algorithm cython job-scheduler np-hard combinatorics tabu-search combinatorial-optimization job-shop-schedulling job-shop-scheduling-problem
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Mar 7, 2021 - Python
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
multiobjective-optimization computational-intelligence combinatorial-optimization neural-combinatorial-optimization learning-to-optimize ml4co rl4co machine-learning-for-combinatorial-optimization
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May 28, 2025 - Python
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
vehicle-routing-problem combinatorial-optimization zero-shot-learning generalization neural-combinatorial-optimization mixture-of-experts learning-to-optimize foundation-models
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Jun 3, 2025 - Python
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
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Oct 23, 2020 - Python
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
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Jul 2, 2025 - Python
A modular Python library for creating, solving, and visualizing job shop scheduling problems.
python library reinforcement-learning constraint-programming job-shop combinatorial-optimization job-shop-scheduling-problem graph-neural-networks reinforcement-learning-environments job-shop-scheduling flexible-job-shop-scheduling
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Oct 12, 2025 - Python
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
deep-neural-networks reinforcement-learning deep-learning graph pytorch lstm policy-gradient reinforcement-learning-algorithms traveling-salesman reinforce tsp lstm-neural-networks actor-critic combinatorial-optimization 2-opt travelling-salesman-problem reinforcement-learning-agent graph-neural-networks reinforcement-learning-environments tsp-instances
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Oct 20, 2020 - Python
Efficient zero-human-knowledge NN-based solver for NxNxN Rubik's cubes and general Cayley graphs
reinforcement-learning deep-learning pytorch beam-search random-walk combinatorial-optimization cayley-graph
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Nov 9, 2025 - Python
[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
reinforcement-learning pathfinding multi-agent-systems combinatorial-optimization neural-combinatorial-optimization mapf multi-agent-reinforcement-learning multi-agent-pathfinding rl4co ai4co iros2024
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Oct 8, 2024 - Python
[IEEE RA-L 2024] GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
robotics deep-reinforcement-learning combinatorial-optimization 3d-bin-packing-problem online-packing
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Aug 13, 2025 - Python
A Hyper-Heuristic framework
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Apr 12, 2025 - Python
Solving tsp (travel sales problem) using ruin & recreate method.
optimization vehicle-routing-problem vrp tsp combinatorial-optimization travelling-salesman-problem vrptw
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Jun 19, 2021 - Python
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