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Omer Gottesman — most-cited papers & profile · Reinforcement Learning
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overview
Omer Gottesman
16
papers ·
169
citations ·
11
h-index
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Most-cited papers
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
2018 · 87 citations
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
2019 · 45 citations
Combining Parametric and Nonparametric Models for Off-Policy Evaluation
2019 · 12 citations
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
2020 · 12 citations
Learning Markov State Abstractions for Deep Reinforcement Learning
2021 · 6 citations
Learning to search efficiently for causally near-optimal treatments
2020 · 3 citations
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
2024 · 2 citations
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
2021 · 1 citations
Faster Deep Reinforcement Learning with Slower Online Network
2021 · 1 citations
Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment Centers
2026
Efficient RL for optimizing conversation level outcomes with an LLM-based tutor
2025
On The Geometry Of Reinforcement Learning In Continuous State And Action Spaces
2022
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes
2022
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
2023
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
2023
Top co-authors
Finale Doshi-Velez
· 7
Emma Brunskill
· 4
George Konidaris
· 4
Leo Anthony Celi
· 3
Aldo Faisal
· 2
Cameron Allen
· 2
David Wihl
· 2
Li-wei H. Lehman
· 2
Matthieu Komorowski
· 2
Michael L. Littman
· 2
Saket Tiwari
· 2
Sonali Parbhoo
· 2
Topics
Model-Based RL
Safe RL
Offline RL
Value-Based
Exploration
Policy Gradient
Multi-Agent
RLHF & Alignment
Meta-RL
Game AI