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Robert E. Schapire — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Robert E. Schapire
4
papers ·
197
citations ·
54
h-index
Microsoft (United States) · Microsoft Research New York City (United States)
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Most-cited papers
Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
2016 · 153 citations
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
2016 · 24 citations
On Oracle-Efficient PAC RL with Rich Observations
2018 · 20 citations
Provably Sample-Efficient RL with Side Information about Latent Dynamics
2022
Top co-authors
Akshay Krishnamurthy
· 3
Alekh Agarwal
· 3
John Langford
· 2
Nan Jiang
· 2
Christoph Dann
· 1
David Abel
· 1
Dipendra Misra
· 1
Fernando Diaz
· 1
Miro Dud\'ik
· 1
Yao Liu
· 1
Topics
Model-Based RL
Exploration
Value-Based
Policy Gradient
Game AI
Meta-RL