重庆大学主页平台管理系统 Gangshan Jing--Home-- [2] G. Jing*, H. Bai, J. George, A. Chakrabortty, P. K. Sharma. Distributed multi-agent reinforcement learning based on graph-induced local value functions. IEEE Transactions on Automatic Control (长文). 2024, DOI: 10.1109/TAC.2024.3375248.

Gangshan Jing

Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

Date of Employment:2021-12-09

School/Department:自动化学院

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:虎溪校区信息技术大楼A414A

Contact Information:jinggangshan@cqu.edu.cn

Degree:Doctoral degree

Status:Employed

Alma Mater:西安电子科技大学

Discipline:Control Theory and Engineering

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[2] G. Jing*, H. Bai, J. George, A. Chakrabortty, P. K. Sharma. Distributed multi-agent reinforcement learning based on graph-induced local value functions. IEEE Transactions on Automatic Control (长文). 2024, DOI: 10.1109/TAC.2024.3375248.

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Pre One:[1] G. Jing*, H. Bai, J. George, A. Chakrabortty, P. K. Sharma. Asynchronous distributed reinforcement learning for LQR control via zeroth-order block coordinate descent. IEEE Transactions on Automatic Control (长文). 2024, DOI: 10.1109/TAC.2024.3386061.

Next One:[3] G. Jing, C. Wan, R. Dai, M. Mesbahi. Design and transformation control of triangulated origami tessellation: a network perspective. IEEE Transactions on Network Science and Engineering. 2023, 11(1): 635-647.