OpenAI's new approach for one-shot imitation learning, a peek into the future of AI

On May 16, OpenAI researchers shared a video of one of their projects along with two papers of importance exploring solutions to three key bottlenecks of current AI development: meta-learning, one-shot learning, and automated data generation. In my previous post, I promised an article dedicated to the fascinating problem of one-shot learning, so here goes. In this video you see a one-arm physical robot stacking cubes on top of each other. Knowing the complex tasks that industrial robots are currently able to perform, if the researcher was not trying to explain what is going on, on many accounts this would be very underwhelming. In controlled environment the task is simple, procedural (hard-coded) approaches have solved this problems already, what is promising and revolutionary is how much the general framework underneath could scale up to multiple, more complex and adaptive behaviors in noisier environments.