Applied reinforcement learning with Python : with OpenAI Gym, Tensorflow and Keras / Taweh Beysolow II
نوع المادة : نصاللغة: الإنجليزية الناشر:[Berkely, California] : Apress, 2019وصف:xv, 168 pages : illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9781484251263
- 148425127X
- 9781484251270
- Q325.6 .B497 2019
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.6 .B497 2019 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000001049 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.6 .B497 2019 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000001050 |
Includes index
Includes bibliographical references
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. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions