rl4co
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
https://github.com/ai4co/parco
PARCO: Parallel AutoRegressive Combinatorial Optimization
https://github.com/ai4co/unsupervised-co-ucom2
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
devformer
[ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
https://github.com/ai4co/awesome-fm4co
Recent research papers about Foundation Models for Combinatorial Optimization
https://github.com/ai4co/real-routing-nco
Dataset & models of RRNCO: Real-world Routing NCO
https://github.com/ai4co/camp
[AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
https://github.com/ai4co/routefinder
[ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
https://github.com/ai4co/reevo
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
https://github.com/ai4co/eph-mapf
[IROS'24] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding