3 papers
eess.SY2026
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
Runze Lin, Ziqi Zhuo, Junghui Chen +2
A significant limitation of Deep Reinforcement Learning (DRL) is the stochastic uncertainty in actions generated during exploration-exploitation, which poses substantial safety ris…
eess.AS2026
SoulX-Duplug: Plug-and-Play Streaming State Prediction Module for Realtime Full-Duplex Speech Conversation
Ruiqi Yan, Wenxi Chen, Zhanxun Liu +17
Recent advances in spoken dialogue systems have brought increased attention to human-like full-duplex voice interactions. However, our comprehensive review of this field reveals se…
eess.SY2025
Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
Runze Lin, Junghui Chen, Biao Huang +2
In the era of Industry 4.0 and smart manufacturing, process systems engineering must adapt to digital transformation. While reinforcement learning offers a model-free approach to p…