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Journal Articles
- 2024
[j7]Jueming Hu
, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564: 126974 (2024)- 2023
- [j6]Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu:
Air traffic controller workload level prediction using conformalized dynamical graph learning. Adv. Eng. Informatics 57: 102113 (2023) - [j5]Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat:
Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. Comput. Ind. Eng. 185: 109631 (2023) - 2022
- [j4]Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu:
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. IEEE Access 10: 90623-90634 (2022) - [j3]Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu:
Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. 109: 104655 (2022) - [j2]Yutian Pang, Xinyu Zhao, Jueming Hu, Hao Yan, Yongming Liu:
Bayesian Spatio-Temporal grAph tRansformer network (B-STAR) for multi-aircraft trajectory prediction. Knowl. Based Syst. 249: 108998 (2022) - 2020
- [j1]Jueming Hu, Heinz Erzberger, Kai Goebel, Yongming Liu:
Probabilistic Risk-Based Operational Safety Bound for Rotary-Wing Unmanned Aircraft Systems Traffic Management. J. Aerosp. Inf. Syst. 17(3): 171-181 (2020)
Conference and Workshop Papers
- 2023
- [c1]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning with Reward Machines in Stochastic Games. ECAI 2023: 1068-1075
Informal and Other Publications
- 2023
- [i6]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning With Reward Machines in Stochastic Games. CoRR abs/2305.17372 (2023) - [i5]Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu:
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR abs/2307.10559 (2023) - [i4]Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu:
Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR abs/2311.16030 (2023) - 2021
- [i3]Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu:
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR abs/2106.09223 (2021) - [i2]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR abs/2110.00096 (2021) - [i1]Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu:
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning. CoRR abs/2111.07037 (2021)
Coauthor Index
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