PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
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May 29, 2018 - Python
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neural-combinatorial-optimization
Here are 25 public repositories matching this topic...
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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Dec 26, 2024 - Python
Recent research papers about Foundation Models for Combinatorial Optimization
lists machine-learning awesome awesome-list combinatorial-optimization neural-combinatorial-optimization foundation-models
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Dec 21, 2024
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
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Jun 8, 2020 - Python
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
reinforcement-learning genetic-algorithm evolutionary-algorithms vehicle-routing-problem ant-colony-optimization neural-combinatorial-optimization electronic-design-automation traveling-salesman-problem hyper-heuristics orienteering-problem multiple-knapsack-problem bin-packing-problem large-language-models automatic-algorithm-generation llm-agent
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Dec 11, 2024 - Python
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
reinforcement-learning neural-network deep-reinforcement-learning pytorch vehicle-routing-problem meta-heuristic ant-colony-optimization knapsack-problem combinatorial-optimization neural-combinatorial-optimization scheduling-problem traveling-salesman-problem graph-neural-networks routing-problem capacitated-vehicle-routing-problem bin-packing-problem
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Sep 29, 2024 - Jupyter Notebook
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.
reinforcement-learning transformer vehicle-routing-problem vrp tsp neural-combinatorial-optimization
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Jun 3, 2024 - Jupyter Notebook
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
reinforcement-learning deep-reinforcement-learning transformer vehicle-routing-problem hierarchical-reinforcement-learning divide-and-conquer travelling-salesman-problem neural-combinatorial-optimization autoregressive-neural-networks graph-neural-networks non-autoregressive capacitated-vehicle-routing-problem prize-collecting-travelling-salesman-problem
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Nov 13, 2024 - 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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Nov 25, 2024 - Python
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
transformers vehicle-routing-problem neural-combinatorial-optimization foundation-models rl4co ai4co
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Oct 8, 2024 - 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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Aug 5, 2024 - Python
This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.
reinforcement-learning transformer vehicle-routing-problem neural-combinatorial-optimization pickup-and-delivery
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Dec 11, 2022 - Python
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
vehicle-routing-problem tsp knowledge-distillation cvrp generalization neural-combinatorial-optimization cross-distribution multi-teacher-kd
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May 27, 2024 - Python
This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.
reinforcement-learning deep-reinforcement-learning transformer vehicle-routing-problem vrp tsp neural-combinatorial-optimization k-opt reward-shaping learning-to-optimize
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Jul 24, 2024 - Jupyter Notebook
[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
Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"
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May 15, 2024 - Python
[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
benchmark transformer hardware-designs combinatorial-optimization symmetric nco neural-combinatorial-optimization rl4co ai4co
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Dec 7, 2024 - Python
PARCO: Parallel AutoRegressive Combinatorial Optimization
scheduling transformers combinatorial-optimization neural-combinatorial-optimization vehicle-routing rl4co ai4co
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Sep 24, 2024 - Python
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