Robbert Reijnen

Orcid: 0000-0002-1629-6040

According to our database1, Robbert Reijnen authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey.
CoRR, 2024

Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023
The first AI4TSP competition: Learning to solve stochastic routing problems.
Artif. Intell., June, 2023

Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods.
CoRR, 2023

Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems.
CoRR, 2022

Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning.
CoRR, 2022

Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2020
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020


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