Applied Reinforcement Learning with Python: With OpenAI Gym,Tensorflow,and Keras
Authors: Taweh Beysolow II
ISBN-10: 1484251261
ISBN-13: 9781484251263
Edition 版次: 1st ed.
Publication Date 出版日期: 2019-08-24
Print Length 页数: 184 pages
Book Description
By finelybook
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
1.Introduction to Reinforcement Learning
2.Reinforcement Learning Algorithms
3.Reinforcement Learning Algorithms: Q Learning and Its Variants
4.Market Making via Reinforcement Learning
5.Custom OpenAl Reinforcement Learning Environments
