10 citations · 17 across the 9 of their papers we have counts for
9 papers
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Qun Ma, Xiao Xue, Deyu Zhou +9
Computational experiments have emerged as a valuable method for studying complex systems, involving the algorithmization of counterfactuals. However, accurately representing real s…
Robust Control of Unknown Switched Linear Systems from Noisy Data
Wenjie Liu, Yifei Li, Jian Sun +2
This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics. In the absence of noise, a data-based st…
Self-triggered Consensus Control of Multi-agent Systems from Data
Yifei Li, Xin Wang, Jian Sun +2
This paper considers self-triggered consensus control of unknown linear multi-agent systems (MASs). Self-triggering mechanisms (STMs) are widely used in MASs, thanks to their advan…
Soft Decomposed Policy-Critic: Bridging the Gap for Effective Continuous Control with Discrete RL
Yechen Zhang, Jian Sun, Gang Wang +2
Discrete reinforcement learning (RL) algorithms have demonstrated exceptional performance in solving sequential decision tasks with discrete action spaces, such as Atari games. How…
Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data
Yifei Li, Wenjie Liu, Jian Sun +3
This paper proposes a novel approach to addressing the output synchronization problem in unknown heterogeneous multi-agent systems (MASs) using noisy data. Unlike existing studies…
Learning Robust Data-based LQG Controllers from Noisy Data
Wenjie Liu, Jian Sun, Gang Wang +2
This paper addresses the joint state estimation and control problems for unknown linear time-invariant systems subject to both process and measurement noise. The aim is to redesign…