| Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Z Xiong, J Eappen, H Zhu, S Jagannathan European Conference on Machine Learning and Principles and Practice of …, 2022 | 7 | 2022 |
| Robustness to adversarial attacks in learning-enabled controllers Z Xiong, J Eappen, H Zhu, S Jagannathan Adaptive and Learning Agents Workshop at AAMAS 2021, 2020 | 6 | 2020 |
| Model-free Neural Lyapunov Control for Safe Robot Navigation Z Xiong, J Eappen, AH Qureshi, S Jagannathan IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 | 4 | 2022 |
| DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems J Eappen, S Jagannathan European Conference on Machine Learning and Principles and Practice of …, 2022 | 3 | 2022 |
| Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications Z Xiong, D Lawson, J Eappen, AH Qureshi, S Jagannathan arXiv preprint arXiv:2303.01346, 2023 | 1* | 2023 |
| Online MCMC Thinning with Kernelized Stein Discrepancy A Koppel, J Eappen, S Bhatt, C Hawkins, S Ganesh SIAM Journal on Mathematics of Data Science 6 (1), 51-75, 2024 | | 2024 |
Suresh JagannathanSamuel D. Conte Professor of Computer Science, Purdue UniversityVerified email at cs.purdue.edu
