Towards Social and Affective Machine Learning, Natasha Jaques

Social learning is a crucial component of human intelligence, allowing us to rapidly adapt to new scenarios, learn new tasks, and communicate knowledge that can be built on by others. Can the ability of artificial intelligence to learn, adapt, and generalize to new environments be enhanced by mechanisms that allow for social learning? My work proposes novel deep- and reinforcement-learning methods that improve the social and affective capabilities of artificial intelligence (AI), through social learning bot