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Xiongtao Shi
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2020 – today
- 2025
- [j8]Xiongtao Shi, Yanjie Li, Chenglong Du, Chaoyang Chen, Guangdeng Zong, Weihua Gui:
Reinforcement learning-based optimal control for Markov jump systems with completely unknown dynamics. Autom. 171: 111886 (2025) - 2024
- [j7]Ke Lin
, Yanjie Li, Qi Liu
Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation. Inf. Sci. 662: 120261 (2024) - [j6]Xiongtao Shi
A Time-Aggregated Model-Free RL Algorithm for Optimal Containment Control of MASs. IEEE Trans. Circuits Syst. II Express Briefs 71(7): 3393-3397 (2024) - [j5]Xiongtao Shi
Optimal Lateral Path-Tracking Control of Vehicles With Partial Unknown Dynamics via DPG-Based Reinforcement Learning Methods. IEEE Trans. Intell. Veh. 9(1): 1701-1710 (2024) - 2023
- [j4]Xiongtao Shi, Yanjie Li, Qi Liu
A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network. Inf. Sci. 626: 60-74 (2023) - [j3]Qi Liu
Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation. Inf. Sci. 644: 119217 (2023) - [c1]Xiongtao Shi, Yanjie Li, Chenglong Du:
Optimal Containment Control of Nonlinear MASs: A Time-Aggregation-Based Policy Iteration Algorithm. CDC 2023: 7336-7341 - 2021
- [j2]Xiongtao Shi, Yonggang Li, Yanhua Yang, Bei Sun, Fang Qi:
Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network. Inf. Sci. 580: 917-933 (2021) - 2020
- [j1]Xiongtao Shi, Yonggang Li
Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning. Neurocomputing 380: 190-200 (2020)
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