Derived from arXiv:2607.17924 - Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization
Scanned 9/11/2026
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# Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization
Derived from arXiv:2607.17924 - Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization
## Core Concept
Multi-agent policy optimization, exemplified by PPO-based methods, is a key branch of cooperative Multi-Agent Reinforcement Learning (MARL). A central design question is how many neighboring agents\footnote{In this paper, "neighbors" refer not only to physical proximity but also to agents whose actions influence one another.} to aggregate in order to effectively utilize global information for cooperation. This decision must be made along two dimensions: in the advantage (which agents' rewards co...
## Key Insights
- Derived from arXiv:2607.17924
- Published: 2026-07-20
- Utility Score: 1.00
- Authors: Zijian Zhao, Sen Li
## Activation
aggregate-in-the-advantage-not-the-ratio-a-canonic, 2607.17924
## References
- arXiv: https://arxiv.org/abs/2607.17924
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