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Preference-based Pure Exploration
We study the preference-based pure exploration problem for bandits with vector-valued rewards.
83004190b1793d7aa15f8d0d49a13eba-Paper.pdf
Recently, combining these two strategies has lead to new methods which discover efficient architectures through optimization instead of design [7, 8].
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus
The dataset provides synchronized labels as ground truth data, spanning 20 unique activities. Of thetime spent performing activities, 64.9% ofthedatahasground-truth labels entered inrealtime during the experiment.
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
