University of Twente Student Theses
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Reinforcement learning in modality planning
Stortelder, Daan (2022) Reinforcement learning in modality planning.
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| Abstract: | We researched the potential of reinforcement learning for the modality planning of a hinterland logistic service provider. The RL-method outperformed the benchmark heuristic for all problem instances, except a large problem instance with unbalanced arrival probabilities. However, we conclude that the model is able to perform general planning activities, is able to let multiple barges collaborate and can handle problem instances of realistic size with balanced arrival probabilities. |
| Item Type: | Essay (Master) |
| Clients: | Combi Terminal Twente, Hengelo, Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 55 traffic technology, transport technology |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/90592 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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