Google Algorithm Teaches Robot How To Walk In Mere Hours
Researchers from Google developed algorithms that helped the four-legged bot to learn how to walk across a range of surfaces within just hours of practice, annihilating the record times set by its human overlords. Their system uses deep reinforcement learning, a form of AI that teaches through trial and error by providing rewards for certain actions. This technique is typically evaluated in virtual environments. However, building simulations that could replicate the robot walking on various surfaces would be highly complex and time-consuming, so the researchers chose to train their system in the real world....