Joe Eappen

According to our database, Joe Eappen authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online MCMC Thinning with Kernelized Stein Discrepancy.

Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh

SIAM J. Math. Data Sci., March, 2024

Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications.

Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Information-Directed Pessimism for Offline Reinforcement Learning.

Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints.

Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan

CoRR, 2023

2022

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising.

Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems.

Joe Eappen, Suresh Jagannathan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Model-free Neural Lyapunov Control for Safe Robot Navigation.

Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020

Robustness to Adversarial Attacks in Learning-Enabled Controllers.

Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan

CoRR, 2020