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Legal guidelines, not scalar rewards, can guarantee compliant multi-agent motion planning, even with conflicting objectives and private agent goals.
DIVE redefines node selection in CBS, achieving dive efficiency and early incumbents while slashing memory usage compared to conventional methods.