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Solving Combinatorial Problems Using Reinforcement Learning and LLMs | Martin Takáč
Introduction to Neural Combinatorial Optimization (KOR)
Louis-Martin Rousseau: Combining Reinforcement Learning & Constraint Programming for Combinator...
What is Combinatorial Optimization Meaning, Definition, Explanation | RealizeTheTerms
Andrea Lodi - Machine Learning for Combinatorial Optimization
Deep Learning Driven Combinatorial Optimization and its Applications
Kevin Tierney - Search heuristics for solving combinatorial optimization problems with deep RL
Solving Combinatorial Optimization Problems with Constraint Programming and OscaR
TutORial: Machine Learning and Data Mining with Combinatorial Optimization Algorithms
Reinforcement Learning: Bringing Together Computation, Behavior and Neural Coding
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Last Updated: October 21, 2026
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This paper presentation is one of those in the CS 885 The Webinar given by Prof Xiaodong Li from RMIT University, Australia. Organiser: IEEE Taskforce on Evolutionary Scheduling ... Part of CO co-at-work.zib.de/ References: • Y. Bengio, A. Lodi, A. Prouvost (2018) - Machine Prof. Pierre Schaus introduces Constraint Programming and the OscaR platform developed in his research team that he used to ... By Dorit Simona Hochbaum. The dominant algorithms for machine Combinatorial optimization problems are NP-Hard problems, meaning that finding a complete solution is impossible or extremely ...
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