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Deep Reinforcement Learning for Online Combinatorial Optimization: The Case of Bipartite Matching
Kevin Tierney - Search heuristics for solving combinatorial optimization problems with deep RL
Laurent Charlin: Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
CP2020 Boosting Combinatorial Optimization via Machine Learning
adaptive algorithms for online convex optimization with Long-term constraints
Predictions for Better Decisions: Towards Integrated Prediction and Optimization | Emma Frejinger
Pawel Lichocki - Combinatorial Optimization @ Google
Soledad Villar: Graph neural networks for combinatorial optimization problems
GECCO2023 Tutorial on Large Scale Optimization And Learning
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Last Updated: October 2, 2026
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Speaker: Prof Xiaodong Li (RMIT University) Summary: In the Tutorial webpage with slides: sites.google.com/view/ml-co-aaai-21/ Presented In this work, we introduce a general reinforcement Abstract: From assigning computing tasks to servers and advertisements to users, sequential online matching problems arise in a ... 2022 Data-driven Optimization Workshop: Presentation of CP2020 tutorial "Boosting Google OR tools: developers.google.com/
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