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Found 4 papers, 1 papers with code
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
We consider a novel application of inverse reinforcement learning with behavioral economics constraints to model, learn and predict the commenting behavior of YouTube viewers.
Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics
By observing these decisions, how can an observer estimate the utility function and information acquisition cost?
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
Estimating patient's clinical state from multiple concurrent physiological streams plays an important role in determining if a therapeutic intervention is necessary and for triaging patients in the hospital.
Reinforcement Learning and Nonparametric Detection of Game-Theoretic Equilibrium Play in Social Networks
This paper studies two important signal processing aspects of equilibrium behavior in non-cooperative games arising in social networks, namely, reinforcement learning and detection of equilibrium play.
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