Found 34 repositories(showing 30)
ai4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
ai4co
[TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
CIAM-Group
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
ai4co
[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
ai4co
[NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization
ai4co
[AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
ai4co
[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
rafardenas
Control of Chemical Processes with RL
donglinkang2021
Use Nearest_Neighbor, Simulated_Annealing, Genetic_Algorithm to run tsp dataset on rl4co-2evrp.
ChengpengLi1003
A open-sourced codebase for using offline reinforcement learning in combinatorial optimization
lyf-workshop
这是一个用来展示rl4co中不同算法的网站
hajizadafarid
Comparison of two TSP-Drone environment implementations: one using Python/NumPy, and the other with RL4CO/PyTorch. Simulates coordinated truck and drone deliveries. Ensures identical results by comparing initial states, available actions, and behaviors across steps.
ai4co
[Replaced by gh-pages branch in rl4co repo] The old landing page for RL4CO: https://ai4co.github.io/rl4co-old-homepage/
OptiMaps
rl4co examples repo
trialwork
No description available
hithxh
No description available
No description available
3sem
No description available
JokerFav
No description available
kascas
This is a project which utilize RL algorithms to make decisions under cyber operation scenarios. (Full Name: Reinforcement Learning for Cyber Operation)
jiqiu0709
save some trace and content when i in ahu
andrreeew
No description available
Mo-Tamim
No description available
Sonzakir
No description available
suhokim0501
No description available
spmandrick
Reinforcement learning for combinatorics and graph theory
boca315
No description available
noahdenicola
No description available
Mowbray-R-V
Scaling GNNs for Billion-Scale Graphs: A Curated Reading List
EKProgrammer
No description available