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Joe Eappen — most-cited papers & profile · Reinforcement Learning
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Joe Eappen
8
papers ·
28
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Model-free Neural Lyapunov Control for Safe Robot Navigation
2022 · 10 citations
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising
2022 · 2 citations
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications
2023 · 1 citations
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems
2022
Top co-authors
Zikang Xiong
· 3
Ahmed H. Qureshi
· 2
and Suresh Jagannathan
· 2
Suresh Jagannathan
· 2
Daniel Lawson
· 1
He Zhu
· 1
Topics
Safe RL
Model-Based RL
Policy Gradient
Multi-Agent
RLHF & Alignment