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Yevgeniy Vorobeychik — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yevgeniy Vorobeychik
24
papers ·
194
citations ·
38
h-index
Washington University in St. Louis
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
2021 · 4 citations
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
2022 · 4 citations
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
2023 · 2 citations
A Partially Supervised Reinforcement Learning Framework for Visual Active Search
2023 · 1 citations
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
2024 · 1 citations
Verified Safe Reinforcement Learning for Neural Network Dynamic Models
2024 · 1 citations
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
2024 · 1 citations
Learning Recommender Mechanisms for Bayesian Stochastic Games
2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
2025
Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense
2019
Reward Delay Attacks on Deep Reinforcement Learning
2022
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks
2022
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks
2023
Axioms for AI Alignment from Human Feedback
2024
Top co-authors
Anindya Sarkar
· 4
Chongjie Zhang
· 4
Junlin Wu
· 4
Nathan Jacobs
· 3
Aron Laszka
· 2
Bengisu Guresti
· 2
Luise Ge
· 2
Michael Lanier
· 2
Taha Eghtesad
· 2
Aleksis Pirinen
· 1
and Junlin Wu
· 1
and Ning Zhang
· 1
Topics
Model-Based RL
Safe RL
Game AI
Multi-Agent
Policy Gradient
Meta-RL
Value-Based
Exploration
RLHF & Alignment