most citedDistributed Stochastic Zeroth-Order Optimization with Compressed Communication

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Asynchronous Cooperative Online Learning for Multi-Robot Control under Computational Delays

Xiaobing Dai, Zewen Yang, Wei Ren +1

Ensuring the safe operation of multi-agent systems (MASs) under uncertain environments is crucial for cooperative robotic, where external disturbances and inaccurate dynamic models…

eess.SY2026

Human-in-the-Loop Distributed Control of Grid-Interactive Buildings for Demand Response Participation

Kasra Mazarei Saadabadi, Dongming Wang, Wei Ren +2

This paper proposes a human-in-the-loop distributed consensus control approach for demand-side management across multiple buildings. Specifically, a novel framework is introduced i…

cs.MA2026

Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces

Dongming Wang, Pengcheng Dai, Wenwu Yu +1

Learning local policies for continuous networked systems requires accounting for the effects of decisions beyond each agent's observation neighborhood. Spatial decay limits these e…

cs.MA2025

Distributed Neural Policy Gradient Algorithm for Global Convergence of Networked Multi-Agent Reinforcement Learning

Pengcheng Dai, Yuanqiu Mo, Wenwu Yu +1

This paper studies the networked multi-agent reinforcement learning (NMARL) problem, where the objective of agents is to collaboratively maximize the discounted average cumulative…

math.OC2025★ 3 cited

Distributed Stochastic Zeroth-Order Optimization with Compressed Communication

Youqing Hua, Shuai Liu, Yiguang Hong +1

The dual challenges of prohibitive communication overhead and the impracticality of gradient computation due to data privacy or black-box constraints in distributed systems motivat…