Reinforcement learning : an introduction /
"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richar...
| Главные авторы: | , |
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| Формат: | |
| Язык: | English |
| Опубликовано: |
Cambridge, Massachusetts :
The MIT Press,
c2018
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| Редактирование: | Second edition. |
| Серии: | Adaptive computation and machine learning series
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| Предметы: | |
| Classic Catalogue: | View this record in Classic Catalogue |
Ayesha Abed Library: General Shelf
| Шифр: |
006.31 SUT |
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