Invited talks

Agent-centric learning: from external reward maximization to internal knowledge curation

Finding the Frame Workshop in Reinforcement Learning Conference, Edmonton, Canada | Slides

Explaining ``how''

Gerstenberg, Stanford, US | Slides (Coming)

How we learn and teach structured knowledge by balancing curiosity and competence

Gopnik, Berkeley, US | Slides

Modeling and improving human learning in structured domains

Hawkins, Stanford, US | Slides | Teaser

Predictive, scalable and interpretable knowledge tracing

The Society for Empirical Educational Research (Gesellschaft für Empirische Bildungsforschung), Mannheim, Germany

Predictive, scalable and interpretable knowledge tracing

Summerfield, Oxford, UK | Slides

Reading groups

Adaptive strategies in continuous time causal learning | Slides
Merits of curiosity — A simulation study | Slides
Exploring the hierarchical structure of human plans via program generation | Slides
Reverse-engineering the self | Slides