Sample-based Value Iteration
Sample-Based Value Iteration is a variant of the value iteration algorithm in reinforcement learning that belongs to the class of dynamic programming methods and is distinguished by its use of sampled transitions and rewards to approximate the Bellman update, thereby enabling scalable and model-free policy evaluation in large or stochastic environments.
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2017–2026
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Tel Aviv University
Tel Aviv, Israel
1 h-index
1 publications
10 citations

Hasselt University
Hasselt, Belgium
1 h-index
4 publications
76 citations
Shandong University of Science and Technology
Qingdao, China
1 publications
17 citations

Northeastern University
Shenyang, China
1 publications
13 citations
Beijing General Research Institute of Mining and Metallurgy
Beijing, China
1 publications
13 citations
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1 publications · 19 citations
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1 publications · 10 citations
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1 publications · 17 citations
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