UCL Deciding, Acting, and Reasoning with Knowledge (DARK) Seminar
Abstract
An overview of Social Reinforcement Learning including using multi-agent competition to drive emergent complexity via PAIRED, increasing multi-agent coordination with Social Influence, and learning from human feedback in dialog with Offline RL.
Date
2020
Location
University College London (UCL)
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.