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Reinforcement learning : an introduction
Material type:
TextPublication details: London; The MIT Press; 2018Edition: 2Description: xxii, 526p. : ill. ; Rs. 8670.00ISBN: - 9780262039246
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AMRITA SCHOOL OF ENGINEERING | REFERENCE | 004.032.26 Q80 (Browse shelf(Opens below)) | Not for loan | 71586 |
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| 004.056DWM P80 Digital watermarking and steganography : fundamentals and techniques | 004.032.24 P30 Performance evaluation,prediction and visualization of parallel systems | 004.032.26 P90 Neural Networks and learning machines | 004.032.26 Q80 Reinforcement learning : an introduction | 004.032.26 Q90 GANs in action : deep learning with generative adversarial networks | 004.032.26 R00 Probabilistic deep learning : with python, keras, and tensorflow probability | 004.032.26 R00 Deep reinforcement learning in action |
Includes bibliographical references and index
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