Awesome Reinforcement Learning
๐
Papers
๐งญ
Topics
๐ฅ
Trending
๐บ๏ธ
Map
๐
Leaderboards
๐
Learn
๐ค
Ask AI
โฏ
More
๐ฅ
Authors
๐
Reading Packs
๐
Datasets
๐ ๏ธ
Tools
๐ฐ
News
๐
Blogs
โ๏ธ
Newsletter
๐ฏ
Research Radar
๐
Saved
+ Add Paper
โพ
โ
โ authors
ยท
overview
Loading authorโฆ
๐ค
Ask AI
Nathan Kallus โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Nathan Kallus
39
papers ยท
148
citations ยท
31
h-index
Cornell University ยท Cornell Tech ยท Netflix (United States)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
2019 ยท 50 citations
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
2019 ยท 23 citations
Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency
2021 ยท 14 citations
A Review of Off-Policy Evaluation in Reinforcement Learning
2022 ยท 13 citations
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
2020 ยท 12 citations
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
2020 ยท 8 citations
Fast Rates for the Regret of Offline Reinforcement Learning
2021 ยท 4 citations
Statistically Efficient Off-Policy Policy Gradients
2020 ยท 3 citations
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
2020 ยท 3 citations
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
2022 ยท 3 citations
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning
2019 ยท 2 citations
Optimal Off-Policy Evaluation from Multiple Logging Policies
2020 ยท 2 citations
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
2022 ยท 2 citations
Learning Bellman Complete Representations for Offline Policy Evaluation
2022 ยท 1 citations
Provable Safe Reinforcement Learning with Binary Feedback
2022 ยท 1 citations
Top co-authors
Masatoshi Uehara
ยท 13
Wen Sun
ยท 9
Kaiwen Wang
ยท 4
Kaiwen Wang
ยท 4
Andrew Bennett
ยท 3
Dawen Liang
ยท 3
Jason D. Lee
ยท 3
Kaiwen Wang
ยท 3
Angela Zhou
ยท 2
Ayush Sekhari
ยท 2
Jonathan Chang
ยท 2
Lars van der Laan
ยท 2
Topics
Offline RL
Value-Based
Model-Based RL
Policy Gradient
Safe RL
Exploration
RLHF & Alignment
Meta-RL