A GNN trained with behavior cloning and RL provides MILP warm starts that reduce solve time for multi-agent task allocation, but quality trails deadline-based heuristics and the evaluation is limited.
Fast scheduling of robot teams performing tasks with temporospatial constraints,
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Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
A GNN trained with behavior cloning and RL provides MILP warm starts that reduce solve time for multi-agent task allocation, but quality trails deadline-based heuristics and the evaluation is limited.