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Andrew Perrault — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Andrew Perrault
11
papers ·
9
citations ·
10
h-index
The Ohio State University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Robust Reinforcement Learning Under Minimax Regret for Green Security
2021 · 8 citations
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning
2021 · 1 citations
Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
2026
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
2024
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
2019
Training Transition Policies via Distribution Matching for Complex Tasks
2021
Normality-Guided Distributional Reinforcement Learning for Continuous Control
2022
DLPO: Diffusion Model Loss-Guided Reinforcement Learning for Fine-Tuning Text-to-Speech Diffusion Models
2024
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
2024
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
2024
Top co-authors
Ju-Seung Byun
· 5
Milind Tambe
· 3
Haipeng Chen
· 2
Arunesh Sinha
· 1
Fei Fang
· 1
Finale Doshi-Velez
· 1
Jihyung Kil
· 1
Jingyi Chen
· 1
Jiyun Chun
· 1
Kai Wang
· 1
Lily Xu
· 1
Micha Elsner
· 1
Topics
Model-Based RL
Policy Gradient
Value-Based
RLHF & Alignment
Multi-Agent
Safe RL
Game AI
Meta-RL