Reliability Increases With Random Robots

Northwestern University engineers have developed a new AI algorithm, Maximum Diffusion Reinforcement Learning (MaxDiff RL), designed to improve the practicality and safety of robots for a variety of applications. The algorithm encourages robots to explore their environments randomly, leading to faster and more efficient learning and improved performance.