| Home > Library catalogue > Library holdings > Reinforcement learning |
| Book | PUBDB-2024-05623 |
;
[2020]
The MIT Press
Cambridge, Massachusetts
ISBN: 9780262039246
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Abstract: "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, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms."
Keyword(s): Reinforcement learning - textbooks ; Artificial Intelligence ; Textbook ; Machine learning - textbooks ; Deep learning ; AI ; Algorithms ; Algorithmic programming ; Lehrbuch ; Operant conditioning ; RL
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