Introduces MnLP, a training method adding multi-step node prediction supervision to improve neural policies for vehicle routing problems.
Selected node coordinates are transformed using the rotation matrix cos(φ)−sin(φ) sin(φ) cos(φ) with rotation angleφ∼[0,2π]
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Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
Introduces MnLP, a training method adding multi-step node prediction supervision to improve neural policies for vehicle routing problems.