2 papers
cs.LG2024
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
Yihong Guo, Yixuan Wang, Yuanyuan Shi +2
Training a policy in a source domain for deployment in the target domain under a dynamics shift can be challenging, often resulting in performance degradation. Previous work tackle…
eess.SY2024
Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia
Jie Feng, Manasa Muralidharan, Rodrigo Henriquez-Auba +2
The increasing penetration of converter-based renewable generation has resulted in faster frequency dynamics, and low and variable inertia. As a result, there is a need for frequen…