Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
Dive into reinforcement learning with Python in this practical guide. Learn to implement algorithms using OpenAI Gym for environments and TensorFlow for deep learning models. Build and train intelligent agents that make decisions by interacting with dynamic systems, gaining mastery over core concepts through hands-on projects.
About This Book
This book provides a hands-on approach to reinforcement learning using Python, focusing on mastering both traditional reinforcement learning and deep reinforcement learning techniques.
Readers will explore the use of OpenAI Gym for simulating environments and TensorFlow for implementing neural networks in learning algorithms.
The content emphasizes practical coding exercises to develop skills in creating agents that optimize actions through trial and error.
Ideal for programmers interested in AI, the book guides through building and training models without requiring prior deep learning expertise.
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