The phrase "practice makes perfect" is great advice for humans — and also a helpful maxim for robots 🧵 Instead of requiring a human expert to guide such improvement, MIT & The AI Institute’s "Estimate, Extrapolate, and Situate" (EES) algorithm enables these machines to practice on their own, potentially helping them improve at useful tasks in factories, households, and hospitals: bit.ly/3ApFdAI

EES first works w/a vision system that locates & tracks the machine’s surroundings. Then, the algorithm estimates how reliably the robot executes an action & if it should practice more.

@MIT_CSAIL That’s cool dawg

@MIT_CSAIL Is there transfer learning? Each robot’s optimisation for the same task performance may be different,how to they share experiences and optimise learning?