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David Krueger — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
David Krueger
16
papers ·
275
citations ·
26
h-index
University of Cambridge · Indian Institute of Technology Hyderabad
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Most-cited papers
Scalable agent alignment via reward modeling: a research direction
2018 · 126 citations
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
2023 · 93 citations
Goal Misgeneralization in Deep Reinforcement Learning
2021 · 23 citations
Active Reinforcement Learning: Observing Rewards at a Cost
2020 · 12 citations
Reward Model Ensembles Help Mitigate Overoptimization
2023 · 2 citations
Predicting Future Actions of Reinforcement Learning Agents
2024 · 2 citations
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
2024 · 1 citations
Mitigating Goal Misgeneralization via Minimax Regret
2025
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
2022
Thinker: Learning to Plan and Act
2023
Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games
2024
Top co-authors
Usman Anwar
· 5
Stephen Chung
· 3
Jacob Pfau
· 2
Jan Leike
· 2
Lauro Langosco
· 2
Robert Kirk
· 2
Alan Clark
· 1
Alessandro Abate
· 1
Anand Siththaranjan
· 1
Anca Dragan
· 1
Andi Peng
· 1
Ashish Pandian
· 1
Topics
RLHF & Alignment
Model-Based RL
Safe RL
Value-Based
Exploration
Meta-RL
Game AI
Policy Gradient
Offline RL
Multi-Agent