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Aditya Modi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Aditya Modi
9
papers ·
47
citations ·
6
h-index
Google Scholar ↗
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Most-cited papers
Model-free Representation Learning and Exploration in Low-rank MDPs
2021 · 12 citations
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
2020 · 11 citations
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
2019 · 9 citations
No-regret Exploration in Contextual Reinforcement Learning
2019 · 8 citations
Markov Decision Processes with Continuous Side Information
2017 · 6 citations
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
2022 · 1 citations
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information
2026
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
2019
Joint Learning-Based Stabilization of Multiple Unknown Linear Systems
2022
Top co-authors
Alekh Agarwal
· 3
Ambuj Tewari
· 3
Akshay Krishnamurthy
· 2
Jinglin Chen
· 2
Nan Jiang
· 2
Adith Swaminathan
· 1
Ankur Samanta
· 1
Besmira Nushi
· 1
Daniel Jiang
· 1
Debadeepta Dey
· 1
Eric Horvitz
· 1
Jalaj Bhandari
· 1
Topics
Model-Based RL
Exploration
RLHF & Alignment
Meta-RL
Safe RL
Value-Based
Policy Gradient
Multi-Agent