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Reinforcement learning design for cancer clinical trials
We develop reinforcement learning trials for discovering individualized treatment regimens for life-threatening diseases such as cancer. A temporal-difference learning method called Q-learning is utilized which involves learning an optimal policy from a single training set of finite longitudinal pat...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2767418/ https://ncbi.nlm.nih.gov/pubmed/19750510 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3720 |
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