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ml-recall

#entropy

17 questions from Multi-Agent Systems, Optimization & Calculus, Information Theory, Classification, Decision Trees & Ensembles

Timed test

17 questions · 17 min · score and explanations at the end

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Question 1: Single choice

mediumAI-checkedMulti-Agent Systems

A learner keeps cumulative utilities g∈Rng \in \mathbb{R}^n for its nn actions and plays x=arg max⁡x∈Δn[⟨g,x⟩−ψ(x)]x = \operatorname*{arg\,max}_{x \in \Delta_n}\big[\langle g, x \rangle - \psi(x)\big], with the negative entropy ψ(x)=∑ixilog⁡xi\psi(x) = \sum_i x_i \log x_i as regularizer and Δn\Delta_n the probability simplex. What is xx?

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