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Adaptive Solution Prediction via Machine Learning for Large-Scale Combinatorial Optimization
Solving Combinatorial Optimization Problems with Constraint Programming and OscaR
TILOS Seminar: How to use Machine Learning for Combinatorial Optimization (2022-07-20)
Andrea Lodi et al. - Panel discussion Machine Learning in Combinatorial Optimization
Machine Learning for Combinatorial Optimization: Applications to Networking - Ph.D. 50% seminar
Neural Combinatorial Optimization with Reinforcement Learning
Recent Advances in Integrating Machine Learning and Combinatorial Optimization - Tutorial at AAAI-21
CPAIOR 2022 Keynote: Deep Learning and Neural Network Accelerators for Combinatorial Optimization
CP2020 Boosting Combinatorial Optimization via Machine Learning
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch
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Last Updated: September 29, 2026
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Part of CO co-at-work.zib.de/ References: • Y. Bengio, A. Lodi, A. Prouvost (2018) - Dorit Hochbaum, UC Berkeley Computational Challenges in Speaker: Prof Xiaodong Li (RMIT University) Summary: In the big data era, we frequently encounter Prof. Pierre Schaus introduces Constraint Programming and the OscaR platform developed in his research team that he used to ... Panel discussion from the ML4CO Challenge Winner session at NeurIPS2021. Find the introduction, the three winners' ... Half-Time seminar towards the Ph.D. degree in Computer Science at KTH - Royal Institute of Technology, Sweden. Daniel F. This paper presentation is one of those in the CS 885 Reinforcement Tutorial webpage with slides: sites.google.com/view/ml-co-aaai-21/ Presented Presentation of CP2020 tutorial "Boosting Short intro for "Deep Reinforcement
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