Active Inference for Bandit-Based Autonomous Robotic Exploration With Dynamic Preferences
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DOI: 10.1109/tro.2025.3577041
Abstract: Autonomous selection of optimal options for data collection from multiple alternatives is challenging in uncertain environments. When secondary information about options is accessible, such problems can be framed as contextual multiarmed bandits (CMABs). Neuroinspired active… read more here.
Keywords: inference bandit; exploration; inference; bandit based ... See more keywords