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[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Awesome machine learning for combinatorial optimization papers.
Extensible Combinatorial Optimization Learning Environments
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Recent research papers about Foundation Models for Combinatorial Optimization
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
An OpenAi Gym environment for the Job Shop Scheduling problem.
A benchmarking repo with various solution methods to various machine scheduling problems
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization