5 papers
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…
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…
Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces
Dongming Wang, Pengcheng Dai, Wenwu Yu +1
We develop the Continuous Distributed Coupled Policy Gradient (CDCPG) algorithm for cooperative reinforcement learning in networked Markov decision processes with continuous state…
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…
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…