57 citations · 238 across the 15 of their papers we have counts for
5 papers · 1 filter
Learning Connectivity and Higher-order Interactions in Radial Distribution Grids
Qiuling Yang, Mario Coutino, Gang Wang +2
To perform any meaningful optimization task, distribution grid operators need to know the topology of their grids. Although power grid topology identification and verification has…
Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
Jun Sun, Gang Wang, Georgios B. Giannakis +2
Motivated by the emerging use of multi-agent reinforcement learning (MARL) in engineering applications such as networked robotics, swarming drones, and sensor networks, we investig…
A Statistical Learning Approach to Reactive Power Control in Distribution Systems
Qiuling Yang, Alireza Sadeghi, Gang Wang +2
Pronounced variability due to the growth of renewable energy sources, flexible loads, and distributed generation is challenging residential distribution systems. This context, moti…
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation
Gang Wang, Bingcong Li, Georgios B. Giannakis
Motivated by the widespread use of temporal-difference (TD-) and Q-learning algorithms in reinforcement learning, this paper studies a class of biased stochastic approximation (SA)…
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning
Qiuling Yang, Gang Wang, Alireza Sadeghi +2
Modern distribution grids are currently being challenged by frequent and sizable voltage fluctuations, due mainly to the increasing deployment of electric vehicles and renewable ge…