Learning equilibrium as a generalization of learning to optimize

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摘要

We argue that learning equilibrium is an appropriate generalization to multi-agent systems of the concept of learning to optimize in single-agent setting. We further define and discuss the concept of weak learning equilibrium.

论文关键词:Learning,Machine learning,Learning equilibrium

论文评审过程:Received 15 May 2006, Revised 20 October 2006, Accepted 21 December 2006, Available online 26 January 2007.

论文官网地址:https://doi.org/10.1016/j.artint.2007.01.002