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cs.LG2024
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Chenglin Li, Guangchun Ruan, Hua Geng
Safe reinforcement learning (RL) is a popular and versatile paradigm to learn reward-maximizing policies with safety guarantees. Previous works tend to express the safety constrain…
eess.SY2024
Dynamic Virtual Power Plants with Robust Frequency Regulation Capability
Xiang Zhu, Hua Geng, Hongyang Qing +3
The rapid integration of inverter-based resources (IBRs) into power systems has identified frequency security challenges due to reduced inertia and increased load volatility. This…