Foundations of Deep Reinforcement Learning： Theory and Practice in Python（Laura Graesser; Wah Loon Keng）（Addison-Wesley Professional 2020）

  • 书名：Foundations of Deep Reinforcement Learning: Theory and Practice in Python
  • 出版社：Addison-Wesley Professional
  • 作者：Laura Graesser; Wah Loon Keng
  • 出版年份：2020
  • 电子书格式： epub
  • 简介：Dive into the world of deep reinforcement learning with “Foundations of Deep Reinforcement Learning: Theory and Practice in Python.” This comprehensive guide, authored by Laura Graesser and Wah Loon Keng, provides a thorough understanding of both the theoretical underpinnings and practical applications of deep reinforcement learning using Python. Explore cutting-edge techniques, algorithms, and real-world examples. Master deep Q-networks, policy gradients, and actor-critic methods. Ideal for students, researchers, and professionals seeking to leverage the power of deep reinforcement learning in AI and machine learning.
  • ISBN：9780135172490, 01351
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