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Off-Policy Recommendation System Without Exploration
Recommendation System (RS) can be treated as an intelligent agent which aims to generate policy maximizing customers’ long term satisfaction. Off-policy reinforcement learning methods based on Q-learning and actor-critic methods are commonly used to train RS. Though these methods can leverage previo...
Uloženo v:
| Vydáno v: | Advances in Knowledge Discovery and Data Mining |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7206175/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47426-3_2 |
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