Xiongtao Shi

According to our database, Xiongtao Shi authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Fully Distributed Consensus of Multiple Euler-Lagrange Systems With Time-Varying Asymmetric Full-State Constraints.

Yanhua Yang, Jie Mei, Xiongtao Shi, Guangfu Ma

IEEE Trans. Autom. Control., August, 2025

Filter-Based Fully Distributed Output Regulation of Heterogeneous Learning Agents.

Xiongtao Shi, Yanjie Li, Chenglong Du, Chaoyang Chen, Changchun Hua, Weihua Gui

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2025

Neural Brain: A Neuroscience-inspired Framework for Embodied Agents.

Jian Liu, Xiongtao Shi, Thai Duy Nguyen, Haitian Zhang, Tianxiang Zhang, Wei Sun, Yanjie Li, Athanasios V. Vasilakos, Giovanni Iacca, Arshad Ali Khan, Arvind Kumar, Jae Won Cho, Ajmal Mian, Lihua Xie, Erik Cambria, Lin Wang

CoRR, May, 2025

Distributional Policy Gradient With Distributional Value Function.

Qi Liu, Yanjie Li, Xiongtao Shi, Ke Lin, Yuecheng Liu, Yunjiang Lou

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Fully Distributed Event-Triggered Control of Nonlinear Multiagent Systems Under Directed Graphs: A Model-Free DRL Approach.

Xiongtao Shi, Yanjie Li, Chenglong Du, Yang Shi, Chunhua Yang, Weihua Gui

IEEE Trans. Autom. Control., January, 2025

Cooperative output regulation of heterogeneous directed multi-agent systems: a fully distributed model-free reinforcement learning framework.

Xiongtao Shi, Yanjie Li, Chenglong Du, Huiping Li, Chaoyang Chen, Weihua Gui

Sci. China Inf. Sci., 2025

Reinforcement learning-based optimal control for Markov jump systems with completely unknown dynamics.

Xiongtao Shi, Yanjie Li, Chenglong Du, Chaoyang Chen, Guangdeng Zong, Weihua Gui

Autom., 2025

2024

A Time-Aggregated Model-Free RL Algorithm for Optimal Containment Control of MASs.

Xiongtao Shi, Yanjie Li, Chenglong Du, Weihua Gui

IEEE Trans. Circuits Syst. II Express Briefs, July, 2024

Optimal Lateral Path-Tracking Control of Vehicles With Partial Unknown Dynamics via DPG-Based Reinforcement Learning Methods.

Xiongtao Shi, Yanjie Li, Wenxiao Hu, Chenglong Du, Chaoyang Chen, Weihua Gui

IEEE Trans. Intell. Veh., January, 2024

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation.

Ke Lin, Yanjie Li, Qi Liu, Duantengchuan Li, Xiongtao Shi, Shiyu Chen

Inf. Sci., 2024

2023

Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation.

Qi Liu, Yanjie Li, Shiyu Chen, Ke Lin, Xiongtao Shi, Yunjiang Lou

Inf. Sci., October, 2023

A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network.

Xiongtao Shi, Yanjie Li, Qi Liu, Ke Lin, Shiyu Chen

Inf. Sci., May, 2023

Optimal Containment Control of Nonlinear MASs: A Time-Aggregation-Based Policy Iteration Algorithm.

Xiongtao Shi, Yanjie Li, Chenglong Du

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network.

Xiongtao Shi, Yonggang Li, Yanhua Yang, Bei Sun, Fang Qi

Inf. Sci., 2021

2020

Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning.

Xiongtao Shi, Yonggang Li, Bei Sun, Honglei Xu, Chunhua Yang, Hongqiu Zhu

Neurocomputing, 2020