activity
20132022
most citedAn Incentive-Based Online Optimization Framework for Distribution Grids

93 citations · 357 across the 26 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

math.OC2020★ 16 cited

Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems

Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein +2

The increasing penetration of distributed energy resources (DERs) in the distribution networks has turned the conventionally passive load buses into active buses that can provide g…

cs.RO2020★ 9 cited

Cooperative Control of Mobile Robots with Stackelberg Learning

Joewie J. Koh, Guohui Ding, Christoffer Heckman +2

Multi-robot cooperation requires agents to make decisions that are consistent with the shared goal without disregarding action-specific preferences that might arise from asymmetry…

cs.LG2020

A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem

Zhiyuan Liu, Huazheng Wang, Bo Waggoner +3

We investigate the sparse linear contextual bandit problem where the parameter is sparse. To relieve the sampling inefficiency, we utilize the "perturbed adversary" where the c…

math.OC2020★ 2 cited

Optimal Power Flow with State Estimation In the Loop for Distribution Networks

Yi Guo, Xinyang Zhou, Changhong Zhao +2

We propose a framework for integrating optimal power flow (OPF) with state estimation (SE) in the loop for distribution networks. Our approach combines a primal-dual gradient-based…

cs.RO2020★ 6 cited

Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation

Guohui Ding, Joewie J. Koh, Kelly Merckaert +5

We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). We propose two distributed multi-agent RL approaches: distributed approxim…

math.OC2020

Multi-Level Optimal Power Flow Solver in Large Distribution Networks

Xinyang Zhou, Yue Chen, Zhiyuan Liu +2

Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topolog…