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2020 – today
- 2024
[j1]Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh:
Online MCMC Thinning with Kernelized Stein Discrepancy. SIAM J. Math. Data Sci. 6(1): 51-75 (2024)- [c5]Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh:
Information-Directed Pessimism for Offline Reinforcement Learning. ICML 2024 - [c4]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 - 2023
- [i5]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
- [c3]Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. IROS 2022: 5572-5579 - [c2]Joe Eappen, Suresh Jagannathan:
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems. ECML/PKDD (4) 2022: 233-250 - [c1]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 - [i4]Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. CoRR abs/2203.01190 (2022) - [i3]Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan:
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. CoRR abs/2206.07188 (2022) - [i2]Joe Eappen, Suresh Jagannathan:
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems. CoRR abs/2206.13754 (2022) - 2020
- [i1]Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan:
Robustness to Adversarial Attacks in Learning-Enabled Controllers. CoRR abs/2006.06861 (2020)
Coauthor Index
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