Miguel Morales

I'm a Computer Science PhD student at the Georgia Institute of Technology working with Charles Isbell. I'm part of the pfunk lab. I'm the author of Grokking Deep Reinforcement Learning, and the content developer and instructor for Udacity's Deep Reinforcement Learning Nanodegree Actor-Critic lectures. I've been an instructor for CS 4641 B: Machine Learning undergraduate course, a teaching assistant and instructor for the graduate course in Machine Learning and Reinforcement Learning and Decision Making, CS 7642, all of them at Georgia Tech.

My interests are in multi-agent reinforcement learning and everything related to it. In particular, I believe that for an AI to achieve genuine human-level intelligence, it must learn to interact with other learning agents, artificial and humans. Recently, I’ve been working on skill discovery algorithms, which can significantly improve exploration and performance, and thinking about how they could be applied to the multi-agent case.

I studied Computer Science in Venezuela @ URBE (partial Bachelor's), in Florida @ FAU (complete Bachelor's), and in Georgia @ Georgia Tech (Master's). I'm a Udacity's Machine Learning, Deep Learning, and Self-Driving Car Nanodegree Graduate. I also served as a project reviewer and a mentor for some of those programs. Previous to Lockheed, I worked for AT&T, Cisco, HPE, and a couple of family-owned companies. I'm a father of four, and married to a wonderful woman.