S. B. Ahamed

Bayesian Policy Optimization over Conceptual Lattices for Interpretable Personalized Learning

This work presents the first integration of formal concept analysis with Bayesian reinforcement learning for pedagogical sequencing, providing a mathematically rigorous foundation for personalized learning that combines structural validity with quantifiable confidence estimates.