These weird virtual creatures evolve their bodies to solve problems

New research led by HAI Co-Director Fei-Fei Li and Associate Director Surya Ganguli shows how Deep Evolutionary Reinforcement Learning can evolve diverse agent morphologies to learn challenging locomotion and manipulation tasks in complex environments.