deep reinforcement learning hands-on 2nd edition maksim lapan pdf – deep reinforcement learning hand
deep reinforcement learning hands-on 2nd edition maksim lapan pdf – deep reinforcement learning hand
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deep reinforcement learning hands-on 2nd edition maksim lapan pdf
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Deep Reinforcement Learning Hands-On 2nd Edition by Maksim Lapan is a comprehensive guide that provides a practical and hands-on approach to understanding and implementing deep reinforcement learning algorithms. This book covers the fundamentals of deep reinforcement learning, including key concepts such as Markov decision processes, Bellman equations, and policy gradients. It also delves into advanced topics such as deep Q-networks, policy gradients, and actor-critic methods. The author provides step-by-step instructions and code examples in Python using popular libraries such as TensorFlow and Keras, making it easy for readers to follow along and implement their own deep reinforcement learning algorithms. Whether you are a beginner or an experienced practitioner in the field, this book is a valuable resource for anyone looking to learn and master deep reinforcement learning techniques.