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Fair task allocation in transportation
Task allocation problems have traditionally focused on cost optimization.
Learning optimization models in the presence of unknown relations
Given the learned models, we propose two types of optimization methods: a black-box best-first search approach, and a novel white-box approach that maps learned models to integer linear programs (ILP) which can then be solved by any ILP-solver.
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