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David Lindner — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
David Lindner
14
papers ·
139
citations ·
6
h-index
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Most-cited papers
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
2023 · 93 citations
Active Exploration for Inverse Reinforcement Learning
2022 · 6 citations
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
2023 · 6 citations
Learning Safety Constraints from Demonstrations with Unknown Rewards
2023 · 4 citations
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning
2022 · 3 citations
Detecting Spiky Corruption in Markov Decision Processes
2019 · 1 citations
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
2021 · 1 citations
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
2025
Information Directed Reward Learning for Reinforcement Learning
2021
Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework
2024
ViSTa Dataset: Do vision-language models understand sequential tasks?
2024
Top co-authors
Andreas Krause
· 3
Sebastian Tschiatschek
· 2
Xin Chen
· 2
Alexander Meulemans
· 1
Alok Singh
· 1
Anand Siththaranjan
· 1
Anca Dragan
· 1
Andi Peng
· 1
Caleb Biddulph
· 1
Charbel-Rapha\"el Segerie
· 1
Claudia Shi
· 1
David Elson
· 1
Topics
Model-Based RL
Safe RL
RLHF & Alignment
Exploration
Multi-Agent
Value-Based
Offline RL