Publications
Preprints
[1]. X, Li, M. Yao and C. Belta, Automata Guided Reinforcement Learning And Skill Composition pdf
[2]. X, Li and C. Belta, Hierarchical Temporal Logic Guided Reinforcement Learning. pdf
[3]. X. Li, M. Yao and C. Belta, Automata Guided Reinforcement Learning With Demonstrations, 2018. online access at arXiv:1809.06305. pdf
[4]. X. Li and C. Belta, A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks, 2016. online access at arXiv:1711.00129. pdf
Journal
[1]. X. Li, Z. Serlin, Y. Guang and C.Belta, A Formal Methods Approach to Interpretable Reinforcement Learning for Robotic Planning,Science Robotics (Special Issue in Explainable AI), 2019. pdf
[2]. C.I.Vasile, X. Li and C.Belta, Reactive Sampling-Based Path Planning with Temporal Logic Specifications, International Journal of Robotics Research (IJRR), 2019. (under review)
Conference
[1]. X, Li, and C. Belta, Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions, Conference on Decision and Control (CDC), 2019. (under review) pdf
[2]. X, Li, M. Yao and C.Belta, A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks, American Control Conference (ACC), 2018. (accepted) pdf
[3]. X, Li, C.I.Vasile and C.Belta, Reinforcement Learning With Temporal Logic Rewards, International Conference on Intelligent Robot and Systems (IROS), 2017. (accepted) pdf
[4]. X, Li and P, Kazanzides, Task Frame Estimation during Model-Based Teleoperation for Satellite Servicing, International Conference on Robots and Automation (ICRA), 2016. (accepted) (accepted) pdf
[5]. X, Li and P, Kazanzides, Parameter Estimation and Anomaly Detection while Cutting Insulation during Telerobotic Satellite Servicing, International Conference on Intelligent Robot and Systems (IROS), 2015. (accepted) pdf
Book Chapter
X. Li and G. S. Chirikjian, Lie Theoretic Multi-Robot Localization, Riemannian Computing in Computer Vision, Springer, 2015. pdf
Thesis
X. Li and G. S. Chirikjian, Distributed Multi-Robot Cooperative Localization Using Bayesian Fusion on the Special Euclidean Group, MSE Thesis, 2014. Johns Hopkins University. pdf