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Joe Eappen
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Detecting Malicious
Reinforcement Learning
Landmark Recognition
Impedance Control
Top Venues
CoRR
SIAM J. Math. Data Sci.
ECML/PKDD (4)
IROS
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Publications
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Alec Koppel
,
Joe Eappen
,
Sujay Bhatt
,
Cole Hawkins
,
Sumitra Ganesh
Online MCMC Thinning with Kernelized Stein Discrepancy.
SIAM J. Math. Data Sci.
6 (1) (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
,
Joe Eappen
,
He Zhu
,
Suresh Jagannathan
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising.
ECML/PKDD (3)
(2022)
Joe Eappen
,
Suresh Jagannathan
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems.
CoRR
(2022)
Zikang Xiong
,
Joe Eappen
,
Ahmed H. Qureshi
,
Suresh Jagannathan
Model-free Neural Lyapunov Control for Safe Robot Navigation.
IROS
(2022)
Joe Eappen
,
Suresh Jagannathan
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems.
ECML/PKDD (4)
(2022)
Zikang Xiong
,
Joe Eappen
,
He Zhu
,
Suresh Jagannathan
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising.
CoRR
(2022)
Zikang Xiong
,
Joe Eappen
,
He Zhu
,
Suresh Jagannathan
Robustness to Adversarial Attacks in Learning-Enabled Controllers.
CoRR
(2020)