Zikang Xiong

According to our database, Zikang Xiong authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Manipulating Neural Path Planners via Slight Perturbations.

Zikang Xiong, Suresh Jagannathan

IEEE Robotics Autom. Lett., June, 2024

SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models.

Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan

CoRR, 2024

DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation.

Shiwei Feng, Xuan Chen, Zhiyuan Cheng, Zikang Xiong, Yifei Gao, Siyuan Cheng, Sayali Kate, Xiangyu Zhang

CoRR, 2024

Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications.

Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints.

Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan

CoRR, 2023

2022

Representative Points Based on Power Exponential Kernel Discrepancy.

Zikang Xiong, Yao Xiao, Jianhui Ning, Hong Qin

Axioms, 2022

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising.

Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Model-free Neural Lyapunov Control for Safe Robot Navigation.

Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning.

Zikang Xiong, Ishika Agarwal, Suresh Jagannathan

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning.

Zikang Xiong, Suresh Jagannathan

CoRR, 2021

2020

Batch Sequential Adaptive Designs for Global Optimization.

Jianhui Ning, Yao Xiao, Zikang Xiong

CoRR, 2020

Robustness to Adversarial Attacks in Learning-Enabled Controllers.

Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan

CoRR, 2020

2019

An inductive synthesis framework for verifiable reinforcement learning.

He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019