7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 7 cited
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Maxime Gasse, Quentin Cappart, Jonas Charfreitag +38
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolatio…
cs.AI2022
PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning
Zixuan Cao, Mengzhi Shi, Zhanbo Zhao +1
Being difficult to scale poses great problems in multi-agent coordination. Multi-agent Reinforcement Learning (MARL) algorithms applied in small-scale multi-agent systems are hard…
cs.AI2022★ 2 cited
ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation
Zixuan Cao, Yang Xu, Zhewei Huang +1
The Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021 competition aims to improve state-of-the-art combinatorial optimization solvers by replacing key heuristic…