3 papers
cs.AI2026
Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance
Julius Gabelmann, Felix Jahn, Kevin Baum +4
The widespread adoption of AI chatbots in education will drastically change learning, making responsible deployment a critical concern. While large language models (LLMs) might hav…
cs.AI2026
Per-Domain Generalizing Policies: On Learning Efficient and Robust Q-Value Functions (Extended Version with Technical Appendix)
Nicola J. Müller, Moritz Oster, Isabel Valera +2
Learning per-domain generalizing policies is a key challenge in learning for planning. Standard approaches learn state-value functions represented as graph neural networks using su…
cs.LG2025
Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior
Timo P. Gros, Nicola J. Müller, Daniel Fiser +3
Recent work has shown that successful per-domain generalizing action policies can be learned. Scaling behavior, from small training instances to large test instances, is the key ob…