Tagged: OpenAI

Hands-On Reinforcement Learning with R 1

Hands-On Reinforcement Learning with R

eBook Details: Paperback: 362 pages Publisher: WOW! eBook (December 17, 2019) Language: English ISBN-10: 1789616719 ISBN-13: 978-1789616712 eBook Description: Hands-On Reinforcement Learning with R: Implement key reinforcement learning algorithms and techniques using different R packages such as the Markov chain, MDP toolbox, contextual, and OpenAI Gym Reinforcement Learning (RL) is an integral part of machine learning (ML), and is used to train algorithms. With this book, you’ll learn how to implement reinforcement learning with R, exploring practical examples such as using tabular Q-learning to...

Foundations of Deep Reinforcement Learning: Theory and Practice in Python 1

Foundations of Deep Reinforcement Learning: Theory and Practice in Python

eBook Details: Paperback: 416 pages Publisher: WOW! eBook; 1st edition (December 12, 2019) Language: English ISBN-10: 0135172381 ISBN-13: 978-0135172384 eBook Description: Foundations of Deep Reinforcement Learning: Theory and Practice in Python: The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep Reinforcement Learning (Deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games-such...

Hands-On Q-Learning with Python 0

Hands-On Q-Learning with Python

eBook Details: Paperback: 212 pages Publisher: WOW! eBook (April 19, 2019) Language: English ISBN-10: 1789345804 ISBN-13: 978-1789345803 eBook Description: Hands-On Q-Learning with Python: Leverage the power of reward-based training for your deep learning models with Python Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with...

Applied Reinforcement Learning with Python 0

Applied Reinforcement Learning with Python

eBook Details: Paperback: 168 pages Publisher: WOW! eBook; 1st edition (October 2, 2019) Language: English ISBN-10: 1484251261 ISBN-13: 978-1484251263 eBook Description: Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. What You’ll Learn Implement reinforcement learning with Python Work with AI frameworks such as...

Hands-On Neural Networks 0

Hands-On Neural Networks

eBook Details: Paperback: 280 pages Publisher: WOW! eBook (May 30, 2019) Language: English ISBN-10: 1788992598 ISBN-13: 978-1788992596 eBook Description: Hands-On Neural Networks: Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and Keras Neural networks play a very important role in deep learning and artificial intelligence (AI), with applications in a wide variety of domains, right from medical diagnosis, to financial forecasting, and even machine diagnostics. Hands-On Neural Networks is designed to guide you through learning about...