Scalable Exploration via Ensemble

Scalable exploration in high-dimensional, complex environments is a significant challenge in sequential decision making, especially when utilizing neural networks. Ensemble sampling, a practical approximation of Thompson sampling, is widely adopted but often suffers performance degradation due to {e...

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Bibliographische Detailangaben

Hauptverfasser:	Li, Yingru, Xu, Jiawei, Wang, Baoxiang, Luo, Zhi-Quan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction Computer Science - Information Theory Computer Science - Learning Mathematics - Information Theory Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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