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Ian Osband — most-cited papers & profile · Reinforcement Learning
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overview
Ian Osband
15
papers ·
1606
citations ·
29
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Deep Exploration via Bootstrapped DQN
2016 · 468 citations
Noisy Networks for Exploration
2017 · 391 citations
Deep Q-learning from Demonstrations
2017 · 307 citations
Randomized Prior Functions for Deep Reinforcement Learning
2018 · 116 citations
Deep Exploration via Randomized Value Functions
2017 · 68 citations
The Uncertainty Bellman Equation and Exploration
2017 · 59 citations
Minimax Regret Bounds for Reinforcement Learning
2017 · 51 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
Making Sense of Reinforcement Learning and Probabilistic Inference
2020 · 12 citations
On Optimistic versus Randomized Exploration in Reinforcement Learning
2017 · 9 citations
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
2018 · 9 citations
Posterior Sampling for Reinforcement Learning Without Episodes
2016 · 8 citations
Top co-authors
Benjamin Van Roy
· 8
Remi Munos
· 3
Bilal Piot
· 2
Brendan O'Donoghue
· 2
Charles Blundell
· 2
Daniel Russo
· 2
John Aslanides
· 2
Mohammad Gheshlaghi Azar
· 2
Olivier Pietquin
· 2
Abbas Kazerouni
· 1
Albin Cassirer
· 1
Alexander Pritzel
· 1
Topics
Exploration
Value-Based
Model-Based RL
Game AI
Offline RL
Multi-Agent