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01/05/2023
Training a Deep Q-Learning Agent Inside a Generic Constraint Programming Solver
Constraint programming is known for being an efficient approach for solv...
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03/04/2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Combinatorial optimization is a well-established area in operations rese...
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12/19/2021
On Causal Inference for Data-free Structured Pruning
Neural networks (NNs) are making a large impact both on research and ind...
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02/18/2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization is a well-established area in operations rese...
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02/18/2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
The design of efficient and generic algorithms for solving combinatorial...
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06/12/2020
Learning TSP Requires Rethinking Generalization
End-to-end training of neural network solvers for combinatorial problems...
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06/02/2020
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Combinatorial optimization has found applications in numerous fields, fr...
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09/28/2019
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem
Combinatorial optimization is the field devoted to the study and practic...
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09/10/2018