Distributional Value Functions
Distributional Value Function is a value function in reinforcement learning that models the entire probability distribution of cumulative rewards, rather than only their expected value, thereby capturing the inherent stochasticity in returns.
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2.7K
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85
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65
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2017–2026
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A distributional code for value in dopamine-based reinforcement learning
Will Dabney, Zeb Kurth‐Nelson, Naoshige Uchida et al. · Nature · 2020 · 476 citations · Full text
Distributional Reinforcement Learning with Quantile Regression
Will Dabney, Mark Rowland, Marc G. Bellemare et al. · arXiv (Cornell University) · 2017 · 150 citations · Full text
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Google (United States)
Mountain View, United States
4 h-index
7 publications
1.2K citations
Google DeepMind (United Kingdom)
London, United Kingdom
3 h-index
9 publications
3.7K citations
University College London
London, United Kingdom
3 h-index
4 publications
1K citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
3 publications
674 citations

Polish Academy of Sciences
Warsaw, Poland
2 h-index
2 publications
138 citations
University of Catania
Catania, Italy
2 h-index
3 publications
158 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
2 h-index
3 publications
53 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
2 publications
138 citations
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Repository · 5 publications · 472 citations
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2 publications · 84 citations
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1 publications · 25 citations
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