Handling missing data with graph representation learning J You, X Ma, Y Ding, MJ Kochenderfer, J Leskovec Advances in Neural Information Processing Systems 33, 19075-19087, 2020 | 218 | 2020 |
Reinforcement learning for autonomous driving with latent state inference and spatial-temporal relationships X Ma, J Li, MJ Kochenderfer, D Isele, K Fujimura 2021 IEEE International Conference on Robotics and Automation (ICRA), 6064-6071, 2021 | 71 | 2021 |
Improved robustness and safety for autonomous vehicle control with adversarial reinforcement learning X Ma, K Driggs-Campbell, MJ Kochenderfer 2018 IEEE Intelligent Vehicles Symposium (IV), 1665-1671, 2018 | 70 | 2018 |
3-d decentralized prioritized motion planning and coordination for high-density operations of micro aerial vehicles X Ma, Z Jiao, Z Wang, D Panagou IEEE Transactions on Control Systems Technology 26 (3), 939-953, 2017 | 51 | 2017 |
Decentralized prioritized motion planning for multiple autonomous UAVs in 3D polygonal obstacle environments X Ma, Z Jiao, Z Wang, D Panagou 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 292-300, 2016 | 39 | 2016 |
Depth estimation from single image using CNN-residual network X Ma, Z Geng, Z Bie Semantic Scholar. Available online: http://cs231n. stanford. edu/reports …, 2017 | 14 | 2017 |
Normalizing flow policies for multi-agent systems X Ma, JK Gupta, MJ Kochenderfer International Conference on Decision and Game Theory for Security, 277-296, 2020 | 13 | 2020 |
Monte-carlo tree search for policy optimization X Ma, K Driggs-Campbell, Z Zhang, MJ Kochenderfer arXiv preprint arXiv:1912.10648, 2019 | 12 | 2019 |
Recursive reasoning graph for multi-agent reinforcement learning X Ma, D Isele, JK Gupta, K Fujimura, MJ Kochenderfer Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7664-7671, 2022 | 9 | 2022 |
System and method for utilizing a recursive reasoning graph in multi-agent reinforcement learning DF Isele, MA Xiaobai, JK Gupta, MJ Kochenderfer US Patent App. 17/174,316, 2022 | 8 | 2022 |
Systems and methods for path planning with latent state inference and graphical relationships J Li, DF Isele, K Fujimura, MA Xiaobai, MJ Kochenderfer US Patent 11,868,137, 2024 | 1 | 2024 |
Normalizing flow model for policy representation in continuous action multi-agent systems X Ma, JK Gupta, MJ Kochenderfer Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 1 | 2020 |
Systems and methods for path planning with latent state inference and graphical relationships J Li, DF Isele, K Fujimura, MA Xiaobai, MJ Kochenderfer US Patent App. 18/488,394, 2024 | | 2024 |
Deep Reinforcement Learning Methods for Autonomous Driving Safety and Interactivity X Ma Stanford University, 2021 | | 2021 |
Depth Estimation from Single Image Using Convolutional Neural Networks X Ma, Z Geng, Z Bie | | |