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Benjamin Van Roy — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Benjamin Van Roy
29
papers ·
764
citations ·
47
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Exploration via Bootstrapped DQN
2016 · 468 citations
Deep Exploration via Randomized Value Functions
2017 · 68 citations
A Tutorial on Thompson Sampling
2017 · 39 citations
Behaviour Suite for Reinforcement Learning
2019 · 36 citations
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
2016 · 31 citations
Information-Theoretic Confidence Bounds for Reinforcement Learning
2019 · 15 citations
Provably Efficient Reinforcement Learning with Aggregated States
2019 · 12 citations
On Optimistic versus Randomized Exploration in Reinforcement Learning
2017 · 9 citations
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
2018 · 9 citations
A Definition of Continual Reinforcement Learning
2023 · 9 citations
Posterior Sampling for Reinforcement Learning Without Episodes
2016 · 8 citations
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States
2021 · 6 citations
Coordinated Exploration in Concurrent Reinforcement Learning
2018 · 3 citations
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
2022 · 2 citations
Bayesian Reinforcement Learning with Limited Cognitive Load
2023 · 1 citations
Top co-authors
Ian Osband
· 8
Dilip Arumugam
· 7
Wanqiao Xu
· 4
Hado van Hasselt
· 3
Shi Dong
· 3
Andr\'e Barreto
· 2
Daniel Russo
· 2
David Abel
· 2
Doina Precup
· 2
Maria Dimakopoulou
· 2
Mark K. Ho
· 2
Noah D. Goodman
· 2
Topics
Exploration
Model-Based RL
Value-Based
Meta-RL
Multi-Agent
Safe RL
RLHF & Alignment
Game AI
Policy Gradient