Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python

If you want pages of screenshots, this is the book for you. Screenshots of directory listings, screenshots of install process, screenshots of the next line being typed....

Qualitaet entspricht einem laengeren Fachzeitschriftartikel. Auf nur 160 Seiten zu viele Screenshots von Terminaleingaben. Seiten teilweise nur bis zur haelfte gefuellt. Teilweise eine ganze Seite aus einem Diagramm mit nur 4 Begriffen gefuellt.

Amazon doesn't have a zero star rating. SO I had to give it one star. This book is just an assortment of screen shots and any original material is very poorly laid out with many half pages taken up by block diagrams that look like they were drawn in MSpaint. But ya, lots of lots of screen shots of apt-get output and the anaconda website etc. This book isn't worth the time to look at it to see that its worthless.

I hate to write a negative review since I am sure the authors put a fair amount of effort into their book. However, I really can't recommend this book. The book is mostly a series of screen shots strung together with minimal explanation. If you want a hands on introduction to RL programming I suggest that you look at the OpenAI Gym tutorial. The Sutton and Barto book is the place to get started in the theory. Unfortunately, the long awaited 2nd edition of Sutton and Barto is still not in print, so you will need to work from the .pdf version that is available online

Awesome book

The book is a fuzzy collection of reinforcement learning concepts poorly explained on the theoretical side. Charts are drafted without care and convey no information at all. Code is ill formatted (on the Kindle version), with useless screenshots of results of installation code. It fell far short from my expectations, given its cover. You'd rather be served from plenty of free content available on the internet.