Master reinforcement learning a popular area of machine learning starting with the basics discover how agents and the environment evolve and then gain a clear picture of how they are interrelated. Youll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.ampnbspReinforcement Learningampnbspdiscusses algorithm implementations important for reinforcement learning including Markovs Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI ampnbspbefore looking at Open AI Gym. Youll then learn about Swarm Intelligence with Python in terms of reinforcement learning.ampnbspThe last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. Theres also coverage of Keras a framework that can be used with reinforcement learning. Finally youll delve into Googles Deep Mind and see scenarios where reinforcement learning can be used.ampnbspWhat Youll LearnampnbspAbsorb the core concepts of the reinforcement learning processUse advanced topics of deep learning and AIWork with Open AI Gym Open AI and PythonampnbspHarness reinforcement learning with TensorFlow and Keras using PythonWho This Book Is ForData scientists machine learning and deep learning professionals developers who want to adapt and learn reinforcement learning.