Sutd Researchers Train Ai With Reinforcement Learning To Defeat Champion

Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players. This study marks a watershed moment in the use of artificial intelligence to advance movement science studies, with possible applications ranging from the development of more autonomous automobiles to new collaborative robots and aerial drones.