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...
| 主要な著者: | , |
|---|---|
| フォーマット: | 図書 |
| 言語: | English |
| 出版事項: |
Cambridge, Massachusetts :
The MIT Press,
c2018
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| 版: | Second edition. |
| シリーズ: | Adaptive computation and machine learning series
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| 主題: | |
| Classic Catalogue: | View this record in Classic Catalogue |