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Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition) - Softcover
Synopsis
Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow
Key Features
● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.
● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.
● Everything is concise, up-to-date, and visually explained with simplified mathematics.
Description
Reinforcement learning is a fascinating branch of AI that differs from standard machine learning in several ways. Adaptation and learning in an unpredictable environment is the...
- PublisherBPB Publications
- Publication date2022
- ISBN 10 9355512058
- ISBN 13 9789355512055
- BindingPaperback
- LanguageEnglish
- Number of pages398
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Practical Deep Reinforcement Learning with Python
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Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of Tensorflow and Pytorch
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.01. Seller Inventory # G9355512058I4N00
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