Reinforcement Learning with TensorFlow
Reinforcement learning allows you to develop intelligent, self-learning systems. This book shows you how to put the concepts of Reinforcement Learning to train efficient models.You will use popular reinforcement learning algorithms to implement use-cases in image processing and NLP, by combining the power of TensorFlow and OpenAI Gym.
Offered by
Difficulty Level
Intermediate
Completion Time
11h8m
Language
English
About Book
Who Is This Book For?
If you want to get started with reinforcement learning using TensorFlow in the most practical way, this book will be a useful resource. The book assumes prior knowledge of machine learning and neural network programming concepts, as well as some understanding of the TensorFlow framework. No previous experience of reinforcement learning is required.
Reinforcement Learning with TensorFlow
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h8m total length
Deep Learning –Architectures and Frameworks
Training Reinforcement Learning Agents Using OpenAI Gym
Markov Decision Process (MDP)
Policy Gradients
Q-Learning & Deep Q Networks
Asynchronous Methods
Robo Everything – Real Strategy Gaming
AlphaGo – Reinforcement learning at it’s Best
Reinforcement Learning in Autonomous Driving
Financial Portfolio Management
Reinforcement Learning in Robotics
Deep Reinforcement Learning in AdTech
Reinforcement Learning in Image Processing
Deep Reinforcement Learning in NLP
Appendix 1.Further topics in Reinforcement Learning
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!