19 citations · 19 across the 3 of their papers we have counts for
3 papers
eess.SY2026
Fully distributed singularity-free prescribed-time stabilization of the continuous-time generalized adaptive Bellman-Ford algorithm
Yuanqiu Mo, Jian Qin, Soura Dasgupta
Building upon the well-established distributed biased min-consensus protocol, which serves as an efficient approach to address the shortest path problem in a distributed fashion, t…
cs.MA2026
Distributed Zeroth-Order Policy Gradient for Networked Multi-agent Reinforcement Learning from Human Feedback
Pengcheng Dai, He Wang, Dongming Wang +2
We study a networked multi-agent reinforcement learning (NMARL) problem with human feedback in an infinite-horizon setting, where agents interact over an underlying network with lo…
eess.SP2020★ 19 cited
Two-stage short-term wind power forecasting algorithm using different feature-learning models
Jiancheng Qin, Jin Yang, Ying Chen +2
Two-stage ensemble-based forecasting methods have been studied extensively in the wind power forecasting field. However, deep learning-based wind power forecasting studies have not…