
- 书名:Reinforcement Learning. Theory and Python Implementation 2024
- 出版社:Springer
- 作者:Xiao Z.
- 出版年份:0
- 电子书格式: pdf
- 简介:Master reinforcement learning with this comprehensive guide by Zhiqing Xiao. Explore the theoretical foundations and practical applications through clear explanations and Python code examples. This book is perfect for students, researchers, and professionals seeking to understand and implement RL algorithms. Learn about Markov Decision Processes (MDPs), dynamic programming, Monte Carlo methods, Temporal-Difference learning, and deep reinforcement learning techniques. Gain hands-on experience with practical implementations using Python libraries like Gym and TensorFlow/PyTorch. Advance your knowledge and build your skills in this exciting field of artificial intelligence.
- ISBN:
- 下载地址(点击下载):
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