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ACPO achieves joint policy optimization in MARL by enabling independent agent updates that effectively coordinate through a belief mechanism, outperforming traditional methods as agent numbers grow.
Models can achieve similar accuracy while exhibiting starkly different reasoning failures, revealing a hidden complexity in AI performance that aggregate metrics overlook.
