David Lindner
10 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (28) 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Keywords
reinforcement learning
(2)
large language model
(2)
reward function
(2)
inverse reinforcement learning
(2)
sample complexity
(2)
preference learning
(1)
convex optimization
(1)
zero-shot learning
(1)
model architecture
(1)
constrained markov decision process
(1)
policy learning
(1)
model analysis
(1)
ai safety
(1)
online learning
(1)
best arm identification
(1)
model evaluation
(1)
bayesian model
(1)
reward learning
(1)
constrained reinforcement learning
(1)
sample efficiency
(1)
Papers
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
ICML 2025
Learning Safety Constraints from Demonstrations with Unknown Rewards
AISTATS 2024
On scalable oversight with weak LLMs judging strong LLMs
NeurIPS 2024
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
ICLR 2024
Tracr: Compiled Transformers as a Laboratory for Interpretability
NeurIPS 2023
Active Exploration for Inverse Reinforcement Learning
NeurIPS 2022
Interactively Learning Preference Constraints in Linear Bandits
ICML 2022
Addressing the Long-term Impact of ML Decisions via Policy Regret
IJCAI 2021
Information Directed Reward Learning for Reinforcement Learning
NeurIPS 2021
Learning What To Do by Simulating the Past
ICLR 2021