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Reinforcement Learning for Multi-Truck Vehicle Routing Problems
With the aim of making reinforcement learning a viable technique for supply chain optimization, we develop new extensions to encoder-decoder models for vehicle routing that allow for complex supply chains using classical computing today and quantum computing in the future.
Quantum Neural Networks for a Supply Chain Logistics Application
We use reinforcement learning with neural networks with embedded quantum circuits.
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