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Risk-aware multi-armed bandit problem with application to portfolio selection
Sequential portfolio selection has attracted increasing interest in the machine learning and quantitative finance communities in recent years. As a mathematical framework for reinforcement learning policies, the stochastic multi-armed bandit problem addresses the primary difficulty in sequential dec...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Royal Society
2017-01-01
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| Serie: | Royal Society Open Science |
| Soggetti: | |
| Accesso online: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.171377 |
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