Invited talks
Agent-centric learning: from external reward maximization to internal knowledge curation
Finding the Frame Workshop, Reinforcement Learning Conference, Edmonton, Canada | Slides
Explaining “how”
Gerstenberg, Stanford, US — slides coming soon.
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