The Building Blocks of Reinforcement Learning: Deep Open Sources TRFL

Deep reinforcement learning(DRL) has been categorized many times as the future of artificial intelligence(AI). Some of the most important AI breakthroughs of the last few years such as DeepMind's AlphaGo or OpenAI's Dota Five have been based on DRL applications. Despite its importance, the implementation of DRL models remains an incredibly challenging exercise and, for the most part, we have very little ideas about the pieces that make an efficient DRL solution. Earlier this week, DeepMind open sourced TRFL(pronounced truffle, of course), a framework that compiles a series of useful building blocks of DRL models. Most of the current wave of DRL methods have had their origin in the academic environments and they haven't been tested in real world implementations.