Greed, Fear, Game Theory and Deep Learning

In a previous story, I wrote about how a Game Theoretic approach was influencing developments in the Deep Learning field. In this story, I now write about DeepMind's latest foray into this exciting area. Yesterday, February 19th 2017), DeepMind presents their latest research on this subject titled "Understanding Agent Cooperation". The gist of the research is that, they employed Deep Reinforcement Learning networks in two game environments to study their behavior. The motivation is to study multi-agent systems to better understand and control these kinds of systems. In a previous story (see: "Five Capability Levels of Deep Learning", I laid out a road map as to how Deep Learning will evolve in even greater capabilities.