Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition
Deep Reinforcement Learning with Python, 2nd Edition, guides you through mastering classic RL, deep RL, distributional RL, inverse RL, and more. Using OpenAI Gym and TensorFlow, this book offers practical implementations and hands-on examples to build expertise in AI-driven decision-making systems. Perfect for programmers advancing in machine learning.
About This Book
This second edition book explores deep reinforcement learning techniques using Python. It covers essential concepts from classic reinforcement learning to advanced topics like distributional and inverse RL.
Readers will gain hands-on experience with OpenAI Gym for environments and TensorFlow for implementing algorithms. The content builds progressively, ensuring a solid foundation in RL methodologies.
Ideal for developers and researchers interested in AI, the book provides practical examples to apply RL in real-world scenarios. It emphasizes mastering complex RL variants through coding exercises.
With updated content for the latest tools, this edition equips learners to tackle sophisticated reinforcement learning challenges effectively.
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