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David Brandfonbrener — most-cited papers & profile · AI for Code
← authors
·
overview
David Brandfonbrener
14
papers ·
61
citations ·
6
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning
2022 · 21 citations
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
2019 · 17 citations
Offline RL Without Off-Policy Evaluation
2021 · 16 citations
When does return-conditioned supervised learning work for offline reinforcement learning?
2022 · 4 citations
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning
2022 · 2 citations
The Art of Scaling Reinforcement Learning Compute for LLMs
2025
Generalized Parallel Scaling with Interdependent Generations
2025
The Art of Scaling Reinforcement Learning Compute for LLMs
2025
Quantile Filtered Imitation Learning
2021
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
2022
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
2022
Topics
Offline RL
Value-Based
Exploration
Reinforcement Learning
Efficiency
Training Techniques
Safe RL
Model-Based RL
cs.LG
cs.AI