Deep Reinforcement Learning in Action
Deep Reinforcement Learning in Action offers an approachable entry point into deep reinforcement learning, connecting machine learning concepts with systems that learn through interaction and feedback. Written by Alexander Zai, it is intended for readers building foundational knowledge of this important area of artificial intelligence.
About This Book
Deep Reinforcement Learning in Action introduces the subject of deep reinforcement learning for readers seeking a practical foundation in this area of artificial intelligence.
The book focuses on the relationship between machine learning, neural networks, and reinforcement-based learning.
It is suited to students, developers, and technically curious readers who want to better understand this evolving field.
Alexander Zai presents the topic in an instructional format intended to make a complex computer science subject more approachable.
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