<ul><li>Researchers have proposed a novel algorithm, TNTRules, to address the explainability problem in Bayesian Optimization (BO).</li><li>TNTRules provides both global and local explanations for BO recommendations in cyber-physical systems.</li><li>By generating actionable rules and visual graphs, TNTRules helps identify optimal solution bounds, ranges, and potential alternative solutions.</li><li>The algorithm outperforms three baseline methods in terms of explanation quality, as evaluated using established XAI metrics.</li></ul>

Explainable Bayesian Optimization

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