panyxy's Stars
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
Edward-Sun/DIFUSCO
Code of NeurIPS paper: arxiv.org/abs/2302.08224
henry-yeh/DeepACO
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Spider-scnu/TSP
FeiLiu36/LLM4Opt
A Collection on Large Language Models for Optimization
wouterkool/dpdp
DPDP
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.
ahottung/NLNS
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
martyput/MDP_book
liuzuxin/DSRL
🔥 Datasets and env wrappers for offline safe reinforcement learning
ahottung/EAS
Efficient Active Search
Stalence/erdos_neu
Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
DIMESTeam/DIMES
yimengmin/UTSP
code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
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.
marmotlab/DAN
Public version of the decentralized, attention-based mTSP code
DSA-MLOPS/DSAA6000I
Thinklab-SJTU/NAR-CO-Solver
Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informationis paper
wangjksjtu/rl-perturbed-reward
Reinforcement Learning with Perturbed Reward, AAAI 2020
naver/bq-nco
alga-hopf/drl-graph-partitioning
DRL models for graph partitioning and sparse matrix ordering.
wondergo2017/TSP-HAC
Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
jiang-yuan/Learning-routing-DRO
alstn12088/LCP
gaocrr/ELG
Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"
Graph-COM/CO_ProxyDesign
The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
kaist-silab/meta-sage
[ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
Graph-COM/Meta_CO
the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning