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cs.LG2026
Fast Rates for Offline Q-Learning with KL Regularization
Yize Hao, Guangxin Jiang, Shuang Qiu
This paper investigates offline Q-learning for finite-horizon Markov decision processes with Kullback-Leibler (KL) regularization. Recent studies have shown that KL regularization…
cs.LG2022★ 2 cited
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development
Jin Yang, Guangxin Jiang, Yinan Wang +1
Recent years have witnessed exponential growth in developing deep learning (DL) models for time-series electricity forecasting in power systems. However, most of the proposed model…