MILA RL Sofa
Abstract
This talk focuses on how social learning from other agents can lead to learning more complex behaviors and enhance generalization. I discuss recent work on emergent social learning and PsiPhi-Learning in detail.
Date
2021
Event
Location
Montreal Institute of Learning Algorithms (MILA)
Natasha Jaques
My research is focused on Social Reinforcement Learning–developing algorithms that use insights from social learning to improve AI agents’ learning, generalization, coordination, and human-AI interaction.