Stanford researchers developed the first deep reinforcement learning agent that learns to beat Atari games with the aid of natural language instructions. “Humans do not typically learn to interact with the world in a vacuum, devoid of interaction with others, nor do we live in the stateless, single-example world of supervised learning,” mentioned the researchers