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Xiao Li
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Jahr
Reinforcement learning with temporal logic rewards
X Li, CI Vasile, C Belta
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
2102017
A formal methods approach to interpretable reinforcement learning for robotic planning
X Li, Z Serlin, G Yang, C Belta
Science Robotics 4 (37), 2019
1022019
A policy search method for temporal logic specified reinforcement learning tasks
X Li, Y Ma, C Belta
2018 Annual American Control Conference (ACC), 240-245, 2018
772018
Temporal logic guided safe reinforcement learning using control barrier functions
X Li, C Belta
arXiv preprint arXiv:1903.09885, 2019
442019
Barriernet: Differentiable control barrier functions for learning of safe robot control
W Xiao, TH Wang, R Hasani, M Chahine, A Amini, X Li, D Rus
IEEE Transactions on Robotics, 2023
422023
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features
X Li, G Rosman, I Gilitschenski, CI Vasile, J DeCastro, S Karaman, D Rus
IEEE Robotics and Automation Letters, 3459-3466, 2021
412021
Reactive Sampling-Based Path Planning with Temporal Logic Specifications
CI Vasile, X Li, C Belta
International Journal of Robotics Research, 2020
372020
Barriernet: A safety-guaranteed layer for neural networks
W Xiao, R Hasani, X Li, D Rus
arXiv preprint arXiv:2111.11277, 2021
232021
The Logical Options Framework
B Araki, X Li, K Vodrahalli, J DeCastro, MJ Fry, D Rus
International Conference on Machine Learning, 307-317, 2021
232021
Differentiable Logic Layer for Rule Guided Trajectory Prediction
X Li, G Rosman, I Gilitschenski, J DeCastro, CI Vasile, S Karaman, D Rus
Conference on Robot Learning, 2020
162020
Automata guided reinforcement learning with demonstrations
X Li, Y Ma, C Belta
arXiv preprint arXiv:1809.06305, 2018
152018
Automata Guided Semi-Decentralized Multi-Agent Reinforcement Learning
CC Sun, X Li, C Belta
American Control Conference (ACC), 2020
132020
Task frame estimation during model-based teleoperation for satellite servicing
X Li, P Kazanzides
2016 IEEE International Conference on Robotics and Automation (ICRA), 2834-2839, 2016
82016
A formal methods approach to interpretability, safety and composability for reinforcement learning
X Li
Boston University, 2020
72020
Learning A Risk-Aware Trajectory Planner FromDemonstrations Using Logic Monitor
X Li, J DeCastro, CI Vasile, S Karaman, D Rus
Conference on Robot Learning, 2021
5*2021
A hierarchical reinforcement learning method for persistent time-sensitive tasks
X Li, C Belta
arXiv preprint arXiv:1606.06355, 2016
52016
Learning An Explainable Trajectory Generator Using The Automaton Generative Network (AGN)
X Li, G Rosman, I Gilitschenski, CI Araki, Brandon, Vasile, S Karaman, ...
The IEEE Robotics and Automation Letters, 2022
42022
Automata-guided hierarchical reinforcement learning for skill composition
X Li, Y Ma, C Belta
arXiv preprint arXiv:1711.00129, 2017
42017
Parameter estimation and anomaly detection while cutting insulation during telerobotic satellite servicing
X Li, P Kazanzides
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
42015
Lie-theoretic multi-robot localization
X Li, GS Chirikjian
Riemannian Computing in Computer Vision, 165-186, 2016
32016
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