Article

Policy Search in Code Space for Multi-Agent Pathfinding

The paper proposes a human-directed policy search workflow for multi-agent pathfinding in which coding agents iteratively propose, implement, evaluate, diagnose, and refine algorithms in code space, combining simulation feedback with explicit correctness verification.

Part of the event: Code-Space Policy Search for Multi-Agent Path Finding

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