Hands-On Q-Learning with Python
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Hands-On Q-Learning with Python by Nazia Habib
Q-learning is the reinforcement learning approach behind Deep-Q-Learning and is a values-based learning algorithm in RL. This book will help you get comfortable with developing the effective agents for Q learning and also make you learn to effectively develop and deploy Deep Q networks for complex AI applications.
Nazia Habib is a data scientist who has worked in a variety of industries to generate predictive analytics solutions for diverse groups of stakeholders. She is an expert in building solutions to optimization problems under conditions of uncertainty. Her projects range from predicting user behavior and engagement with social media apps to designing adaptive testing software. Her ongoing specialization is in designing custom reinforcement learning algorithms for modeling control problems with limited inputs that converge to optimal solutions.
| SKU | Unavailable |
| ISBN 13 | 9781789345803 |
| ISBN 10 | 1789345804 |
| Title | Hands-On Q-Learning with Python |
| Author | Nazia Habib |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Packt Publishing Limited |
| Year published | 2019-04-19 |
| Number of pages | 212 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |