ResearchResearch paperReinforcement Learning · Agents & Tool Use · Applications1 source · Oct 14, 2026

AdCoEvo: A Co-Evolving Multi-Agent Advertising Delivery System

To automate the entire advertising operations process and improve adaptability to market changes, we propose AdCoEvo, a co-evolving multi-agent advertising delivery system.

Key points

  • Digital advertising is an important means for platforms to reach potential users and drive business growth.
  • In addition, as advertising markets change, advertising delivery systems need timely strategy updates to remain effective in dynamic markets.
  • The multi-agent system updates its model parameters based on actual delivery outcomes and continually improves delivery strategies through mutual feedback among planning, adjustment, and diagnosis, thereby achieving co-evolution.
  • Compared with a multi-agent system with fixed parameters, AdCoEvo increases advertiser value by 3.96% and reduces cost per acquisition by 1.24%, indicating that co-evolution can yield greater delivery returns.

Sources (1)

  • [1]AdCoEvo: A Co-Evolving Multi-Agent Advertising Delivery System
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 14, 02:40 AM
    To automate the entire advertising operations process and improve adaptability to market changes, we propose AdCoEvo, a co-evolving multi-agent advertising delivery system.
    Digital advertising is an important means for platforms to reach potential users and drive business growth.

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