We give an overview of recent exciting achievements of deep reinforcement learning (RL). We start with background of deep learning and reinforcement learning, as well as introduction of testbeds. Next we discuss Deep Q-Network (DQN) and its...
This book amalgamates data science and software engineering in a pragmatic manner. It guides the reader through topics from these worlds and exemplifies concepts through software. As a reader, you will gain insight into areas rarely covered in...
Discover clean ways to write code that will run on both Python 2 and 3.This book is tutorial-oriented with detailed examples of how to convert existing Python 2-compatible code to code that will run reliably on both Python 2 and 3.
Although Python...