Learning equilibrium as a generalization of learning to optimize |
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| Authors: | Dov Monderer Moshe Tennenholtz |
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| Affiliation: | Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa 32000, Israel |
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| Abstract: | 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. |
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| Keywords: | Learning Machine learning Learning equilibrium |
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