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From Scalar Games to Unconstrained Network Zero-Sum Games: Transfer Principles for Gradient-Based Learning
Key Insights
- We show that, for a broad class of gradient-based learning rules, scalar zero-sum games form a complete test family for convergence in unconstrained network zero-sum games.
- Specifically, suppose a lea.
Cite this synthesis
DOI: 10.48550/arXiv.2610.42087 ↗
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@misc{ acaciacompliance-research-from-scalar-games-to-unconstrained-network-zero-sum-games-tr,
title = { From Scalar Games to Unconstrained Network Zero-Sum Games: Transfer Principles for Gradient-Based Learning },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2610.42087 },
url = { http://arxiv.org/abs/2610.42087v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - From Scalar Games to Unconstrained Network Zero-Sum Games: Transfer Principles for Gradient-Based Learning AU - Leszek PY - 2026 DO - 10.48550/arXiv.2610.42087 UR - http://arxiv.org/abs/2610.42087v1 ER -
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Overview
We show that, for a broad class of gradient-based learning rules, scalar zero-sum games form a complete test family for convergence in unconstrained network zero-sum games. Specifically, suppose a lea
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