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 will teach you the fundamental concepts that underpin probability and statistics and illustrate how they relate to machine learning via the Python language and its powerful extensions. This is not a good first book in any of these topics...
This text details the development and use of 3D modeling tools in Blender’s Python API. We challenge the perception of Blender as purely an artist’s tool by building precise data-driven models. Simultaneously, we teach you how aid and enable...