Joe Eappen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Detecting Malicious

Impedance Control

Reinforcement Learning

Landmark Recognition

Top Venues

SIAM J. Math. Data Sci.

Publications

Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. ICRA (2024)
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)