Recency, consistent learning, and Nash equilibrium
We examine the long-term implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs and that both have a weighted universal consistency property. Using the limited-memory model we produce learning procedures that b...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2014-07, Vol.111 (Supplement 3), p.10826-10829 |
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Format: | Artikel |
Sprache: | eng |
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