Jueming Hu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Stochastic Games

Obstacle Avoidance

Continuous Action

Top Venues

Eng. Appl. Artif. Intell.

J. Aerosp. Inf. Syst.

Comput. Ind. Eng.

Publications

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564 (2024)
Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning. CoRR (2023)
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 (2023)
Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu
Reinforcement Learning With Reward Machines in Stochastic Games. CoRR (2023)
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 (2023)
Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu
Reinforcement Learning with Reward Machines in Stochastic Games. ECAI (2023)
Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu
Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties. CoRR (2023)
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 (2022)
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 (2022)
Jueming Hu, Yuhao Wang, Yutian Pang, Yongming Liu
Optimal maintenance scheduling under uncertainties using Linear Programming-enhanced Reinforcement Learning. Eng. Appl. Artif. Intell. 109 (2022)
Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. CoRR (2021)
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 (2021)
Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR (2021)
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) (2020)