Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. - Xiaobai Ma; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2018)

3-D Decentralized Prioritized Motion Planning and Coordination for High-Density Operations of Micro Aerial Vehicles. - Xiaobai Ma; Ziyuan Jiao; Zhenkai Wang; Dimitra Panagou (IEEE Trans. Control. Syst. Technol., 2018)

Monte Carlo Tree Search for Policy Optimization. - Xiaobai Ma; Katherine Rose Driggs-Campbell; Zongzhang Zhang; Mykel J. Kochenderfer (IJCAI, 2019)

Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems. - Xiaobai Ma; Jayesh K. Gupta; Mykel J. Kochenderfer (AAMAS, 2020)

Normalizing Flow Policies for Multi-agent Systems. - Xiaobai Ma; Jayesh K. Gupta; Mykel J. Kochenderfer (GameSec, 2020)

Handling Missing Data with Graph Representation Learning. - Jiaxuan You; Xiaobai Ma; Daisy Yi Ding; Mykel J. Kochenderfer; Jure Leskovec (NeurIPS, 2020)

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. - Xiaobai Ma; Jiachen Li 001; Mykel J. Kochenderfer; David Isele; Kikuo Fujimura (ICRA, 2021)

magcoilcalc: A Python package for modeling and optimization of axisymmetric magnet coils generating uniform magnetic field for noble gas spin-polarizers. - Siqin Meng; Zhendong Fu; Jianfei Qin; Xiaobai Ma; Yuqing Li; Lijie Hao; Yuntao Liu; Kai Sun; Dongfeng Chen (SoftwareX, 2021)

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. - Xiaobai Ma; David Isele; Jayesh K. Gupta; Kikuo Fujimura; Mykel J. Kochenderfer (AAAI, 2022)