1 code implementation • 27 Nov 2023 • Yutian Pang, Peng Zhao, Jueming Hu, Yongming Liu
This paper addresses aircraft delays, emphasizing their impact on safety and financial losses.
1 code implementation • 20 Jul 2023 • Yutian Pang, Jueming Hu, Christopher S. Lieber, Nancy J. Cooke, Yongming Liu
Air traffic control (ATC) is a safety-critical service system that demands constant attention from ground air traffic controllers (ATCos) to maintain daily aviation operations.
no code implementations • 27 May 2023 • Jueming Hu, Jean-Raphael Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu
We develop an algorithm called Q-learning with reward machines for stochastic games (QRM-SG), to learn the best-response strategy at Nash equilibrium for each agent.
no code implementations • 13 Nov 2021 • Jueming Hu, Xuxi Yang, Weichang Wang, Peng Wei, Lei Ying, Yongming Liu
Obstacle avoidance for small unmanned aircraft is vital for the safety of future urban air mobility (UAM) and Unmanned Aircraft System (UAS) Traffic Management (UTM).
no code implementations • 30 Sep 2021 • Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Experimental results show that local information is sufficient for DGRM and agents can accomplish complex tasks with the help of RM.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 17 Jun 2021 • Yutian Pang, Sheng Cheng, Jueming Hu, Yongming Liu
To evaluate the robustness gain of Bayesian neural networks on image classification tasks, we perform input perturbations, and adversarial attacks to the state-of-the-art Bayesian neural networks, with a benchmark CNN model as reference.