| 期刊全称 | Applied Reinforcement Learning with Python | | 期刊简称 | With OpenAI Gym, Ten | | 影响因子2023 | Taweh Beysolow II | | 视频video | | | 发行地址 | Understand how to package and deploy solutions in Python that utilize deep learning.Includes specific topics such as Q learning and deep reinforcement-learning.Covers the latest reinforcement learning | | 图书封面 |  | | 影响因子 | .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...What You‘ll Learn.Implement reinforcement learning with Python .Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras.Deploy and train reinforcement learning–based solutions via cloud resources.Apply practical applications of reinforcement learning. ..... ..Who This Book Is For ..Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.. | | Pindex | Book 2019 |
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发表于 2025-3-21 16:42:26
