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Found 5 papers, 1 papers with code
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems
It is of great importance to efficiently provide high-quality solutions of cooperative PDP.
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
For each problem, we comprehensively introduce the existing DRL solutions.
Rewriting by Generating: Learn Heuristics for Large-scale Vehicle Routing Problems
The large-scale vehicle routing problem is defined based on the classical VRP with usually more than one thousand customers.
Reinforced Epidemic Control: Saving Both Lives and Economy
Saving lives or economy is a dilemma for epidemic control in most cities while smart-tracing technology raises people's privacy concerns.
DeepDPM: Dynamic Population Mapping via Deep Neural Network
In this paper, we first propose the idea to generate dynamic population distributions in full-time series, then we design dynamic population mapping via deep neural network(DeepDPM), a model that describes both spatial and temporal patterns using coarse data and point of interest information.
