Abstract. Current Learning Management Systems were typically conceived to offer a self-contained "one size fits all" learning environment. Adaptive educational systems ha...
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
In this paper, we describe an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multia...
Leen-Kiat Soh, Nobel Khandaker, Xuliu Liu, Hong Ji...