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Research map / Multi-agent systems and games / Human-AI and goal-conditioned

The Multi-Agent Transportation Problem

AAAI 2023 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Learning-guided MAPF search · 7 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Allow containers to block each other (ablation)MAT · Randomly generated grid instancesCPU runtimeHurt
Allow containers to block each other (ablation)MAT · Randomly generated grid instancesmakespanHurt
Allow agents to cooperate in transporting a container (ablation)MAT · Randomly generated grid instancesmakespanHelped
Fix an agent to each container (ablation)MAT · Randomly generated grid instancesCPU runtimeNo clear effect
Use CBS-MAPD instead of SAT-MAPDMAPD variant with fixed assignments and non-blocking containers · Randomly generated grid instancesCPU runtimeHelped
Increase the number of agentsSAT-MAPD · Randomly generated grid instancessuccess rateMixed
Use MAT rather than MAPF, requiring assignment choices as well as non-colliding pathsMAT solver · Randomly generated instancesCPU runtimeHurt

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