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144
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ML
2007
ACM
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Machine Learning
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ML 2007
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A general criterion and an algorithmic framework for learning in multi-agent systems
15 years 2 months ago
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ai.stanford.edu
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
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