Policy Search in Code Space for Multi-Agent Pathfinding
This work investigates a human-directed workflow in which coding agents iteratively propose, implement, evaluate, diagnose, and eventually refine algorithms guided by simulation feedback and explicit correctness verification and shows that this workflow robustly outperformed any manually engineered solutions.
Matthias Eder, Pantelis Emmanouil, V. Farias et al.
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