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Data-Driven Goal Recognition Design for General Behavioral Agents
Following existing literature, we use worst-case distinctiveness ($\textit{wcd}$) as a measure of the difficulty in inferring the goal of an agent in a decision-making environment.
Distributional Latent Variable Models with an Application in Active Cognitive Testing
Cognitive modeling commonly relies on asking participants to complete a battery of varied tests in order to estimate attention, working memory, and other latent variables.
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