Search Results for author: Zixuan Cao

Found 3 papers, 2 papers with code

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

2 code implementations • 4 Mar 2022 • Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros Gleixner, Aleksandr M. Kazachkov, Elias Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Shengcheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun

Combinatorial optimization is a well-established area in operations research and computer science.

BIG-bench Machine Learning Combinatorial Optimization

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PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning

no code implementations • 20 Feb 2022 • Zixuan Cao, Mengzhi Shi, Zhanbo Zhao, Xiujun Ma

Pheromones released by agents of PooL are defined as outputs of most reinforcement learning algorithms, which reflect agents' views of the current environment.

Multi-agent Reinforcement Learning Q-Learning +2

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ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation

1 code implementation • 25 Jan 2022 • Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou

The Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021 competition aims to improve state-of-the-art combinatorial optimization solvers by replacing key heuristic components with machine learning models.

BIG-bench Machine Learning Combinatorial Optimization

Paper
Code

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