Zikang Xiong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Function Approximation

Reinforcement Learning

Behavioural Cloning

Constrained Global Optimization

Top Venues

IEEE Robotics Autom. Lett.

Publications

Zikang Xiong, Suresh Jagannathan
Manipulating Neural Path Planners via Slight Perturbations. IEEE Robotics Autom. Lett. 9 (6) (2024)
Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. ICRA (2024)
Zikang Xiong, Suresh Jagannathan
Manipulating Neural Path Planners via Slight Perturbations. CoRR (2024)
Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan
Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints. CoRR (2023)
Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
Model-free Neural Lyapunov Control for Safe Robot Navigation. CoRR (2022)
Zikang Xiong, Ishika Agarwal, Suresh Jagannathan
HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning. SafeAI@AAAI (2022)
Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. ECML/PKDD (3) (2022)
Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
Model-free Neural Lyapunov Control for Safe Robot Navigation. IROS (2022)
Zikang Xiong, Yao Xiao, Jianhui Ning, Hong Qin
Representative Points Based on Power Exponential Kernel Discrepancy. Axioms 11 (12) (2022)
Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. CoRR (2022)
Zikang Xiong, Suresh Jagannathan
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning. CoRR (2021)
Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan
Robustness to Adversarial Attacks in Learning-Enabled Controllers. CoRR (2020)
Jianhui Ning, Yao Xiao, Zikang Xiong
Batch Sequential Adaptive Designs for Global Optimization. CoRR (2020)
He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan
An inductive synthesis framework for verifiable reinforcement learning. PLDI (2019)
He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan
An Inductive Synthesis Framework for Verifiable Reinforcement Learning. CoRR (2019)