Differential Value Function
The **Differential Value Function** is a value function that, within the framework of average reward criteria in Markov decision processes, represents the expected cumulative difference between instantaneous rewards and the long-term average reward, serving to evaluate state-value differences relative to a reference state.
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34
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2017–2026
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Relative Value Function
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Tsinghua University
Beijing, China
2 h-index
4 publications
124 citations

The University of Western Australia
Perth, Australia
1 h-index
3 publications
144 citations
University of Miami
Coral Gables, United States
1 h-index
1 publications
14 citations

Universidad Carlos III de Madrid
Madrid, Spain
1 h-index
1 publications
14 citations

Georgia Southern University
Statesboro, United States
1 h-index
1 publications
64 citations
Yale University
New Haven, United States
1 h-index
1 publications
80 citations
Institute of Physics
Beijing, China
1 h-index
1 publications
14 citations
University of Kentucky
Lexington, United States
1 h-index
2 publications
128 citations
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2 publications · 29 citations
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1 publications · 91 citations
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CJA · 1 publications · 11 citations
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1 publications · 318 citations
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1 publications · 432 citations
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