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John Langford — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
John Langford
17
papers ·
351
citations ·
64
h-index
Clinical Insights · OvaScience (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
2016 · 153 citations
Making Contextual Decisions with Low Technical Debt
2016 · 80 citations
On Oracle-Efficient PAC RL with Rich Observations
2018 · 20 citations
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches
2018 · 17 citations
PAC Reinforcement Learning with Rich Observations
2016 · 14 citations
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
2019 · 13 citations
Interaction-Grounded Learning with Action-inclusive Feedback
2022 · 2 citations
Towards Principled Representation Learning From Videos For Reinforcement Learning
2024 · 1 citations
Interaction-Grounded Learning
2021 · 1 citations
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics
2021 · 1 citations
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
2022
Towards Data-Driven Offline Simulations for Online Reinforcement Learning
2022
Top co-authors
Akshay Krishnamurthy
· 7
Alekh Agarwal
· 6
Dipendra Misra
· 6
Alex Lamb
· 3
Nan Jiang
· 3
Paul Mineiro
· 3
Tengyang Xie
· 3
Yonathan Efroni
· 3
Akanksha Saran
· 2
Dylan J. Foster
· 2
Ida Momennejad
· 2
Robert E. Schapire
· 2
Topics
Model-Based RL
Exploration
Safe RL
Value-Based
Offline RL
cs.CV
stat.ML
Meta-RL
RLHF & Alignment
Multi-Agent