Xiao Li

Deep Reinforcement Learning for Adaptive Learning Systems

2020 · arXiv (Cornell University)

In this paper, we formulate the adaptive learning problem---the problem of how to find an individualized learning plan (called policy) that chooses the most appropriate learning materials based on learner's latent traits---faced in adaptive learning …

Research on Innovation-Profession Integration Skills Compass Design under Big Data

2020 · 2020 International Conference on Modern Education and Information Management (ICMEIM)

The advent of the big data era has brought about radical changes in all aspects of society. In this paper, theoretical system for the investigation and evaluation of entrepreneurial talents' abilities in the innovation-profession integration …

Interference at the single-photon level based on silica photonics robust against channel disturbance

2020 · Photonics Research

Quantum key distribution (QKD) provides a solution for communication of unconditional security. However, the quantum channel disturbance in the field severely increases the quantum bit-error rate, degrading the performance of a QKD system. Here we …

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control

2023 · IEEE Transactions on Robotics

Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the safety of learned models for control using differentiable control barrier functions (dCBFs). dCBFs are …