Data Efficient Robust Reinforcement Learning

This project focuses on developing robust RL algorithms for electricity dynamic demand response, which is expected to be a significant component of future smart grids. In dynamic demand response, intelligent agents (i.e., customers) respond to real-time electricity price signals by shifting their flexible loads. The project aims to address the challenge of predicting the future consumption of such intelligent agents under different price signals, which is crucial for planning and resource allocation purposes.