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#machine learning Preprint Sep 2026

Evolution of fairness in multi-objective reinforcement learning framework

Fairness, as a fundamental social norm, continues to pose a longstanding puzzle regarding its emergence. Traditional game-theoretic models largely rely on the assumption of \emph{Homo economicus}, wherein individuals are purely rational and self-interested, acting solely to maximize material payoffs. Such accounts, how...

Jing-Yi Zhang, Xin Ou, Guo-Zhong Zheng et al. · 0 citations
Preprint Aug 2026

Emergence of cooperation: A reputation-modulated reinforcement learning

The results reveal that reputation-modulated learning significantly promotes the emergence of cooperative behavior, and the discontinuous phase transition from full cooperation to full defection as the temptation increases.

Chenyang Zhao, Ji-Qiang Zhang, Li Chen et al. · 0 citations
Preprint Aug 2026

Evolution of cooperation with Q-learning: how much information do we need?

Mechanistic analyses show that a moderate neighborhood size enables individuals to strike an optimal balance between information sufficiency and decision-making tractability, which allows them to detect reciprocal opportunities while avoiding the deterioration of decision quality due to information overload.

Yi-Hsin Ku, Xin Ou, Ji-Qiang Zhang et al. · 0 citations

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