9 citations · 17 across the 5 of their papers we have counts for
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cs.LG2022★ 9 cited
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
Yuxuan Li, Chaoyue Zhao, Chenang Liu
The optimal power flow (OPF) problem, as a critical component of power system operations, becomes increasingly difficult to solve due to the variability, intermittency, and unpredi…
cs.LG2020★ 2 cited
Optimistic Distributionally Robust Policy Optimization
Jun Song, Chaoyue Zhao
Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization (PPO), as the widely employed policy based reinforcement learning (RL) methods, are prone to converge to a…