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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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4113923/ https://ncbi.nlm.nih.gov/pubmed/25024197 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1400987111 |
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