DeepMind researchers develop method to efficiently teach robots tasks like grasping

In a paper published this week on the preprint server Arxiv.org, They claim that SSIs can help to solve a range of complex robotic tasks -- for example, grasping, lifting, and placing a ball into a cup -- with only raw sensor data. Training AI in the robotics domain typically requires a human expert and prior information. The AI must be tailored with adjustments depending on the overarching task at hand, which entails defining a reward that indicates success and that facilitates meaningful exploration. SSIs ostensibly provide a generic means of encouraging agents to explore their environments, as well as guidance for collecting data to solve a main task.