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Policy Search in Code Space for Multi-Agent Pathfinding.

arXiv:2610.25946v2 Announce Type: replace-cross Abstract: Developing coordination policies for complex multi-agent systems relies on either labor-intensive algorithm design or opaque task-specific reinforcement learning. With recent advances in autonomous codi

arXiv cs.AIResearch source·