From predicting to decision making: Reinforcement learning in biomedicine

Reinforcement learning (RL) is one important branch of artificial intelligence (AI), which intuitively imitates the learning style of human beings. It is commonly derived from solving game playing problems and is extensively used for decision‐making, control and optimization problems. It has been ex...

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Vydané v:	Wiley interdisciplinary reviews. Computational molecular science Ročník 14; číslo 4; s. e1723 - n/a
Hlavní autori:	Liu, Xuhan, Zhang, Jun, Hou, Zhonghuai, Yang, Yi Isaac, Gao, Yi Qin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA Wiley Periodicals, Inc 01.07.2024 Wiley Subscription Services, Inc
Predmet:	Algorithms Artificial intelligence Bioaccumulation Biological activity Biological effects Biological properties Data science Decision making drug design Learning algorithms Machine learning macromolecule molecular simulation Predictive control reaction planning Reinforcement reinforcement learning
ISSN:	1759-0876, 1759-0884
On-line prístup:	Získať plný text
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