We propose a novel loss function called Energy Discrepancy (ED) which does not rely on the computation of scores or expensive Markov chain Monte Carlo.

Educational recommendation lies in constructing a recommend system that can process the interactions between students and questions.

The focus of our work is on diagnostic tasks in personalized learning, such as cognitive diagnosis and knowledge tracing. The goal of these tasks is to assess students'

The general recipe for each communication round is composed of three steps.

Real-time decision-making gets more attention in the big data era.

Exploring unknown environments efficiently is a fundamental challenge in unsupervised goal-conditioned reinforcement learning.