3 papers
cs.AI2025
Discovering the curriculum with AI: A proof-of-concept demonstration with an intelligent tutoring system for teaching project selection
Lovis Heindrich, Falk Lieder
The decisions of individuals and organizations are often suboptimal because fully rational decision-making is too demanding in the real world. Recent work suggests that some errors…
cs.LG2025
Do Sparse Autoencoders Generalize? A Case Study of Answerability
Lovis Heindrich, Philip Torr, Fazl Barez +1
Sparse autoencoders (SAEs) have emerged as a promising approach in language model interpretability, offering unsupervised extraction of sparse features. For interpretability method…
cs.AI2025
An intelligent tutor for planning in large partially observable environments
Lovis Heindrich, Saksham Consul, Falk Lieder
AI can not only outperform people in many planning tasks, but it can also teach them how to plan better. A recent and promising approach to improving human decision-making is to cr…