Miguel Morales

Miguel Morales works on reinforcement learning at Lockheed Martin, Missiles and Fire Control, Autonomous Systems, in Denver, Colorado. He is a part-time Instructional Associate at Georgia Institute of Technology for the course in Reinforcement Learning and Decision Making. Miguel has worked for Udacity as a machine learning project reviewer, a Self-driving Car Nanodegree mentor, and a Deep Reinforcement Learning Nanodegree content developer. He graduated from Georgia Tech with a Master’s in Computer Science, specializing in interactive intelligence.

books by Miguel Morales

Grokking Deep Reinforcement Learning

  • October 2020
  • ISBN 9781617295454
  • 472 pages
  • printed in black & white
  • Available translations: Korean, Russian, Simplified Chinese

Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You'll see how algorithms function and learn to develop your own DRL agents using evaluative feedback.