All terms
Training
Sim-to-Real
Training an AI in simulation, then transferring what it learned to the real world.
Definition
Sim-to-real is the practice of training a robot or agent in a fast, safe, cheap simulation, then transferring what it learned to the real world. The main challenge is the 'reality gap' — differences between simulation and reality — which techniques like randomizing the simulation help bridge.