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Lin-Jie Liu

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Preprint Sep 2026

Payoffs and perception mediate environmental feedback in an N-player trust game with Q-learning

Trust develops through learning, while collective behavior can alter the environment in which later decisions are made. Reinforcement-learning models describe adaptation, and eco-evolutionary models describe behavior-environment feedback, but how an endogenous environment changes trust through material incentives and p...

Ru-Qiang Guo, Zhao-Yi Hu, Fang Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback

Multi-agent reinforcement learning in networked populations is governed by the interaction between individual adaptation, local encounters, and changing environmental conditions. To study this interaction, we formulate a coupled learning--environment model in which agents update stateless $Q$-values on a fixed graph, w...

Li-Chen Wang, Shi-Jia Hua, Lin-Jie Liu · 0 citations

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