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2020 – today
- 2024
[j2]Zikang Xiong
, Suresh Jagannathan:
Manipulating Neural Path Planners via Slight Perturbations. IEEE Robotics Autom. Lett. 9(6): 5006-5013 (2024)- [c5]Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. ICRA 2024: 14272-14278 - [i10]Zikang Xiong, Suresh Jagannathan:
Manipulating Neural Path Planners via Slight Perturbations. CoRR abs/2403.18256 (2024) - [i9]Shiwei Feng, Xuan Chen, Zhiyuan Cheng, Zikang Xiong, Yifei Gao, Siyuan Cheng, Sayali Kate, Xiangyu Zhang:
DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation. CoRR abs/2409.10832 (2024) - [i8]Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan:
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. CoRR abs/2409.19471 (2024) - 2023
- [i7]Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan:
Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints. CoRR abs/2303.01346 (2023) - 2022
- [j1]Zikang Xiong, Yao Xiao, Jianhui Ning, Hong Qin:
Representative Points Based on Power Exponential Kernel Discrepancy. Axioms 11(12): 711 (2022) - [c4]Zikang Xiong, Ishika Agarwal, Suresh Jagannathan:
HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning. SafeAI@AAAI 2022 - [c3]Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. IROS 2022: 5572-5579 - [c2]Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan:
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. ECML/PKDD (3) 2022: 235-250 - [i6]Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. CoRR abs/2203.01190 (2022) - [i5]Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan:
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. CoRR abs/2206.07188 (2022) - 2021
- [i4]Zikang Xiong, Suresh Jagannathan:
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning. CoRR abs/2104.10219 (2021) - 2020
- [i3]Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan:
Robustness to Adversarial Attacks in Learning-Enabled Controllers. CoRR abs/2006.06861 (2020) - [i2]Jianhui Ning, Yao Xiao, Zikang Xiong:
Batch Sequential Adaptive Designs for Global Optimization. CoRR abs/2010.10698 (2020)
2010 – 2019
- 2019
- [c1]He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan:
An inductive synthesis framework for verifiable reinforcement learning. PLDI 2019: 686-701 - [i1]He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan:
An Inductive Synthesis Framework for Verifiable Reinforcement Learning. CoRR abs/1907.07273 (2019)
Coauthor Index
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last updated on 2024-10-18 20:32 CEST by the dblp team
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