neural-combinatorial-optimization

There are 0 repository under neural-combinatorial-optimization topic.

pemami4911 / neural-combinatorial-rl-pytorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
pytorch reinforcement-learning seq2seq neural-combinatorial-optimization
Language:Python 532
ai4co / rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
combinatorial-optimization reinforcement-learning benchmark hydra tensordict torchrl pytorch-lightning operations-research electronic-design-automation attention-model cvrp tsp attention neural-combinatorial-optimization
Language:Python 271
kevin031060 / RL_TSP_4static
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
deep-reinforcement-learning drl neural-combinatorial-optimization multi-objective-optimization
Language:Python 121
henry-yeh / DeepACO
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
ant-colony-optimization combinatorial-optimization deep-reinforcement-learning neural-combinatorial-optimization meta-heuristic traveling-salesman-problem vehicle-routing-problem capacitated-vehicle-routing-problem graph-neural-networks neural-network pytorch reinforcement-learning routing-problem scheduling-problem bin-packing-problem knapsack-problem
Language:Jupyter Notebook 99
yining043 / VRP-DACT
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 vehicle-routing-problem neural-combinatorial-optimization transformer tsp vrp
Language:Jupyter Notebook 79
ai4co / LLM-as-HH
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
ant-colony-optimization automatic-algorithm-generation bin-packing-problem evolutionary-algorithms genetic-algorithm hyper-heuristics large-language-models llm-agent multiple-knapsack-problem neural-combinatorial-optimization orienteering-problem reinforcement-learning traveling-salesman-problem vehicle-routing-problem
Language:Python 56
ai4co / awesome-fm4co
Recent research papers about Foundation Models for Combinatorial Optimization
awesome awesome-list combinatorial-optimization foundation-models lists machine-learning neural-combinatorial-optimization
54
yining043 / PDP-N2S
This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.
neural-combinatorial-optimization pickup-and-delivery reinforcement-learning transformer vehicle-routing-problem
Language:Python 46
henry-yeh / GLOP
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
autoregressive-neural-networks capacitated-vehicle-routing-problem deep-reinforcement-learning divide-and-conquer graph-neural-networks hierarchical-reinforcement-learning neural-combinatorial-optimization non-autoregressive prize-collecting-travelling-salesman-problem reinforcement-learning transformer travelling-salesman-problem vehicle-routing-problem
Language:Python 41
jieyibi / AMDKD
The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.
knowledge-distillation neural-combinatorial-optimization vehicle-routing-problem
Language:Python 39
CIAM-Group / NCO_code
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
combinatorial-optimization computational-intelligence learning-to-optimize multiobjective-optimization neural-combinatorial-optimization ml4co machine-learning-for-combinatorial-optimization rl4co
Language:Python 35
yining043 / NeuOpt
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.
learning-to-optimize neural-combinatorial-optimization reinforcement-learning transformer tsp vehicle-routing-problem vrp deep-reinforcement-learning k-opt reward-shaping
Language:Jupyter Notebook 27
RoyalSkye / Routing-MVMoE
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
combinatorial-optimization mixture-of-experts vehicle-routing-problem foundation-models generalization learning-to-optimize neural-combinatorial-optimization zero-shot-learning
Language:Python 21
kaist-silab / devformer
[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
benchmark combinatorial-optimization hardware-designs neural-combinatorial-optimization symmetric transformer
Language:Python 16
Bill-CJB / NHDE
deep-reinforcement-learning learning-to-optimize neural-combinatorial-optimization neural-multi-objective-combinatorial-optimization
Language:Python 14
gaocrr / ELG
Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"
combinatorial-optimization neural-combinatorial-optimization reinforcement-learning
Language:Python 13
omargup / neural_combinatorial_optimization
A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
combinatorial-optimization survey paper neural-combinatorial-optimization travelling-salesman-problem graph-neural-networks
12
ai4co / eph-mapf
EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
combinatorial-optimization mapf neural-combinatorial-optimization pathfinding reinforcement-learning multi-agent-pathfinding multi-agent-reinforcement-learning multi-agent-systems
Language:Python 11
Bill-CJB / EMNH
deep-reinforcement-learning learning-to-optimize neural-combinatorial-optimization neural-multi-objective-combinatorial-optimization
Language:Python 9
ebrahimpichka / QAP-RL
Unofficial implemnetation of "Solving Quadratic Assignemt Problem using Deep Reinforcement Learning" (https://arxiv.org/abs/2310.01604)
combinatorial-optimization deep-reinforcement-learning ml4co neural-combinatorial-optimization operations-research qap quadratic-assignment-problem reinforcement-learning
Language:Python 6
Shiqing-Liu / AJCAI2023-workshop
AJCAI2023 workshop: Machine Learning for Data-driven Optimization
data-driven-optimization graph-neural-network machine-learning neural-combinatorial-optimization surrogate-models
Language:HTML