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2020 – today
- 2024
[j10]Junchao Li
, Mingyu Cai, Zhen Kan, Shaoping Xiao:
Model-free reinforcement learning for motion planning of autonomous agents with complex tasks in partially observable environments. Auton. Agents Multi Agent Syst. 38(1): 14 (2024)- [c4]Shaoping Xiao, Junchao Li, Zhaoan Wang:
Model-Free Motion Planning of Complex Tasks Subject to Ethical Constraints. HCI (52) 2024: 116-129 - [i9]Zhaoan Wang, Shaoping Xiao, Junchao Li, Jun Wang:
Learning-based agricultural management in partially observable environments subject to climate variability. CoRR abs/2401.01273 (2024) - [i8]Zhaoan Wang, Shaoping Xiao, Jun Wang, Ashwin Parab, Shivam Patel:
Intelligent Agricultural Management Considering N2O Emission and Climate Variability with Uncertainties. CoRR abs/2402.08832 (2024) - 2023
- [j9]Junchao Li, Mingyu Cai, Zhaoan Wang, Shaoping Xiao:
Model-based motion planning in POMDPs with temporal logic specifications. Adv. Robotics 37(14): 871-886 (2023) - [j8]Mingyu Cai, Shaoping Xiao, Zhijun Li, Zhen Kan:
Optimal Probabilistic Motion Planning With Potential Infeasible LTL Constraints. IEEE Trans. Autom. Control. 68(1): 301-316 (2023) - [i7]Junchao Li, Mingyu Cai, Zhen Kan, Shaoping Xiao:
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments. CoRR abs/2305.00561 (2023) - 2022
- [j7]Zhiliang Li, Mingyu Cai, Shaoping Xiao, Zhen Kan:
Online Motion Planning With Soft Metric Interval Temporal Logic in Unknown Dynamic Environment. IEEE Control. Syst. Lett. 6: 2293-2298 (2022) - [j6]Yue Zhu, Mingyu Cai, Chris W. Schwarz, Junchao Li, Shaoping Xiao:
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning. Int. J. Intell. Transp. Syst. Res. 20(3): 734-744 (2022) - 2021
- [j5]Shaoping Xiao, Baike She, Siddhartha S. Mehta, Zhen Kan:
Design of controllable Leader-follower Networks via Memetic Algorithms. Adv. Complex Syst. 24(2): 2150004:1-2150004:29 (2021) - [j4]Shaoping Xiao, Ruicheng Liu:
Studies of COVID-19 Outbreak Control Using Agent-Based Modeling. Complex Syst. 30(3): 297-321 (2021) - [j3]Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan:
Modular Deep Reinforcement Learning for Continuous Motion Planning With Temporal Logic. IEEE Robotics Autom. Lett. 6(4): 7973-7980 (2021) - [c3]Mingyu Cai, Shaoping Xiao, Baoluo Li, Zhiliang Li, Zhen Kan:
Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction. ICRA 2021: 806-812 - [i6]Mingyu Cai, Shaoping Xiao, Zhen Kan:
Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Büchi Automata. CoRR abs/2101.10284 (2021) - [i5]Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan:
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic. CoRR abs/2102.12855 (2021) - [i4]Zhiliang Li, Mingyu Cai, Shaoping Xiao, Zhen Kan:
Online Motion Planning with Soft Timed Temporal Logic in Dynamic and Unknown Environment. CoRR abs/2110.09007 (2021) - [i3]Yue Zhu, Mingyu Cai, Chris Schwarz, Junchao Li, Shaoping Xiao:
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning. CoRR abs/2112.13817 (2021) - 2020
- [j2]Shaoping Xiao, Renjie Hu, Zhen Li, Siamak Attarian, Kaj-Mikael Björk, Amaury Lendasse:
A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua. Neural Comput. Appl. 32(18): 14359-14373 (2020) - [i2]Mingyu Cai, Zhijun Li, Hongbo Gao, Shaoping Xiao, Zhen Kan:
Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints. CoRR abs/2007.14325 (2020) - [i1]Mingyu Cai, Shaoping Xiao, Baoluo Li, Zhiliang Li, Zhen Kan:
Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction. CoRR abs/2010.06797 (2020)
2000 – 2009
- 2006
- [j1]Shaoping Xiao, Weixuan Yang:
A meshfree particle method with stress points and its applications at the nanoscale. Int. J. Comput. Sci. Eng. 2(3/4): 213-220 (2006) - 2005
- [c2]Weixuan Yang, Shaoping Xiao:
The Applications of Meshfree Particle Methods at the Nanoscale. International Conference on Computational Science (3) 2005: 284-291 - [c1]Shaowen Wang, Shaoping Xiao, Jun Ni:
A Grid-Based Bridging Domain Multiple-Scale Method for Computational Nanotechnology. International Conference on Computational Science (3) 2005: 326-333
Coauthor Index
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last updated on 2024-07-05 21:02 CEST by the dblp team
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