Tagged: OpenAI Gym

Deep Reinforcement Learning in Action 4

Deep Reinforcement Learning in Action

eBook Details: Paperback: 384 pages Publisher: WOW! eBook; 1st edition (May 12, 2020) Language: English ISBN-10: 1617295434 ISBN-13: 978-1617295430 eBook Description: Humans learn best from feedback – we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the...

Hands-On Deep Learning for Games 0

Hands-On Deep Learning for Games

eBook Details: Paperback: 392 pages Publisher: WOW! eBook (March 30, 2019) Language: English ISBN-10: 1788994078 ISBN-13: 978-1788994071 eBook Description: Hands-On Deep Learning for Games: Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area...

Python Reinforcement Learning 3

Python Reinforcement Learning

eBook Details: Paperback: 496 pages Publisher: WOW! eBook (April 18, 2019) Language: English ISBN-10: 1838649778 ISBN-13: 978-1838649777 eBook Description: Python Reinforcement Learning: Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to Reinforcement Learning followed by...

Hands-On Reinforcement Learning for Games 0

Hands-On Reinforcement Learning for Games

eBook Details: Paperback: 432 pages Publisher: WOW! eBook (January 3, 2020) Language: English ISBN-10: 1839214937 ISBN-13: 978-1839214936 eBook Description: Hands-On Reinforcement Learning for Games: Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow With the increased presence of AI in the gaming industry, developers are challenged to create highly responsive and adaptive games by integrating artificial intelligence into their projects. This book is your guide to learning how various reinforcement learning techniques and algorithms...

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...