Zhang, Dongkun
- Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
2018/11/05 by Liu Yang, Dongkun Zhang, Yang, Liu +3 · 13 citations
Physics and Astronomy · Computer Science · Decision Sciences · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Probabilistic and Robust Engineering Design
- Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks
2019/05/03 by Dongkun Zhang, Ling Guo, Zhang, Dongkun +3 · 9 citations
Physics and Astronomy · Decision Sciences · Computer Science · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Gaussian Processes and Bayesian Inference
- Learning hierarchical behavior and motion planning for autonomous driving
2020/05/08 by Jingke Wang, Wang, Jingke, Yue Wang +7 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Robotics (cs.RO)
- CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
2025/02/27 by Zhang, Dongkun, Liang, Jiaming, Guo, Ke +5 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation
2021/09/16 by Cui, Yuxiang, Lin, Longzhong, Huang, Xiaolong +3 · 1 citation
#FOS: Computer and information sciences #Robotics (cs.RO)