Publications

Preprints


Distributed primal-dual algorithm for constrained multi-agent reinforcement learning under coupled policies
Pengcheng Dai, He Wang, Dongming Wang, Wenwu Yu
Under review, 2026

Scalable policy optimization for networked multi-agent reinforcement learning with continuous state-action spaces
Dongming Wang, Pengcheng Dai, Wenwu Yu, Wei Ren
Under review, 2026

Distributed zeroth-order policy gradient for networked multi-agent reinforcement learning from human feedback
Pengcheng Dai, He Wang, Dongming Wang, Jian Qin, Wenwu Yu
Under review, 2026

Distributed scalable coupled policy algorithm for networked multi-agent reinforcement learning
Pengcheng Dai, Dongming Wang, Wenwu Yu, Wei Ren
Under review, 2025

Journal Articles


Equilibrium Strategies for Bilateral Link Network Formation With Multiple Heterogeneous Utilities
Jian Qin, Hongzhe Liu, Yuanqiu Mo, Pengcheng Dai, Wenwu Yu
IEEE Transactions on Industrial Informatics, 2026

Distributed neural policy gradient algorithm for global convergence of networked multi-agent reinforcement learning
Pengcheng Dai, Yuanqiu Mo, Wenwu Yu, Wei Ren
IEEE Transactions on Automatic Control, 2025

Joint spectrum and power allocation in wireless network: a two-stage multi-agent reinforcement learning method
Pengcheng Dai, He Wang, Huazhou Hou, Xusheng Qian, Wenwu Yu
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024

Applications in traffic signal control: A distributed policy gradient decomposition algorithm
Pengcheng Dai, Wenwu Yu, He Wang, Jiahui Jiang
IEEE Transactions on Industrial Informatics, 2024

Distributed neural learning algorithms for multi-agent reinforcement learning
Pengcheng Dai, Hongzhe Liu, Wenwu Yu, He Wang
IEEE Internet of Things Journal, 2023

Distributed actor-critic algorithms for multiagent reinforcement learning over directed graphs
Pengcheng Dai, Wenwu Yu, He Wang, Simone Baldi
IEEE Transactions on Neural Networks and Learning Systems, 2023

Distributed Q-learning algorithm for dynamic resource allocation with unknown objective functions and application to microgrid
Pengcheng Dai, Wenwu Yu, Duxin Chen
IEEE Transactions on Cybernetics, 2022

Distributed reinforcement learning for cyber-physical system with multiple remote state estimation under DoS attacker
Pengcheng Dai, Wenwu Yu, He Wang, Guanghui Wen, Yuezu Lv
IEEE Transactions on Network Science and Engineering, 2020

Distributed reinforcement learning algorithm for dynamic economic dispatch with unknown generation cost functions
Pengcheng Dai, Wenwu Yu, Guanghui Wen, Simone Baldi
IEEE Transactions on Industrial Informatics, 2020

Distributed consensus-based algorithm for social welfare in smart grid with transmission losses
Qian Xu, Pengcheng Dai, Lei Wang, Duxin Chen, Kun Wang, Wenwu Yu
Science China Technological Sciences, 2020

Conference Papers


Global convergence for multi-agent reinforcement learning in unreliable communication networks
Pengcheng Dai, Lingjie Duan
IEEE International Conference on Computer Communications (INFOCOM), 2026

Economic dispatch of smart grid with unknown cost functions and switching network topology
Guanghui Wen, Xinghuo Yu, Pengcheng Dai, Wenwu Yu
International Conference on Data-driven Optimization of Complex System (Best Paper Award), 2022

Optimal observation policy of fault diagnosis: a reinforcement learning approach
Jiwei Wang, Pengcheng Dai, Wenwu Yu
Chinese Automation Congress (CAC), 2020