Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout

Research article (International Conference on Artificial Intelligence and Statistics, 2019) · cited 10× · AI/ML
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Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout

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Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. Retrieved May 24, 2026, from https://4ort.xyz/entity/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout
MLA “Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout.
BibTeX @misc{4ortxyz_why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout}}, year = {2026}, url = {https://4ort.xyz/entity/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout — https://4ort.xyz/entity/why-non-myopic-bayesian-optimization-is-promising-and-how-far-should-we-look-ahead-a-study-via-rollout (retrieved 2026-05-24)

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