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@jemoka / Jemoka Knowledge Base / wiki/concepts/sparse_sampling.md
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--- title: "Sparse Sampling" type: concept related: [Action Value Function, Forward Search, Utility Theory] source: https://www.jemoka.com/posts/kbhsparse_sampling/ confidence: high status: active --- Same core algorithm as Forward Search, but instead of calculating a utility based on the action-value over all possible next states, you make \(m\) different samples of next state, action, and reward, and average them