Reinforcement Learning with TensorFlow

Reinforcement Learning with TensorFlow introduces you to the exciting world of reinforcement learning, a subset of machine learning for teaching systems to make decisions and solve problems. You will learn how to apply TensorFlow and OpenAI Gym to implement a variety of reinforcement learning algorithms and models. By the end of this book, you'll be equipped to build self-learning agents that can operate in diverse fields.

What this Book will help me do

• Learn foundational reinforcement learning algorithms such as Q-learning, SARSA, and Policy Gradient Methods and understand how they function.
• Implement reinforcement learning techniques using TensorFlow and OpenAI Gym to explore various real-world scenarios.
• Apply the knowledge of reinforcement learning in cutting-edge fields including robotics, autonomous vehicles, and financial technology.
• Develop hands-on skills by building models in reinforcement learning that can learn from data, actions, and results.
• Understand modern reinforcement learning advancements and their contribution to image processing, natural language processing, and advertising technologies.

Author(s)

None Dutta is a skilled practitioner in the field of deep learning and reinforcement learning, with extensive experience in applying these techniques to real-world problems. With a background in computational mathematics and software engineering, Dutta has a passion for breaking down complex topics into manageable, actionable steps for readers. By writing this book, Dutta aims to empower learners to build their own reinforcement learning models and grasp the transformative potential of this technology.

Who is it for?

This book targets anyone with foundational knowledge in machine learning and neural networks who wants to delve into reinforcement learning. Readers should be familiar with Python and TensorFlow, and have a basic understanding of algorithms and programming concepts. It's perfect for software developers or technical enthusiasts looking to explore reinforcement learning and its practical applications. Whether you're an academic researcher, a data scientist, or a curious tech enthusiast, this book is for you.