RL currently leads the pack in advances compared to other machine learning methodologies. Note the use of the word methodology and not technology. RL is a methodology or algorithm that applies a principle we can use with neural networks, whereas, neural networks are a machine learning technology that can be applied to several methodologies. Previously, we looked at other methodologies that blended with DL, but we focused more on the actual implementation. However, RL introduces a new methodology that requires us to understand more of the inner and outer workings before we understand how to apply it.
RL was popularized by Richard Sutton, a Canadian, and current professor at the University of Alberta. Sutton has also assisted in the development of RL at Google's DeepMind, and is quite often regarded as the father of RL.
At the heart of any machine learning...
