In this study, we introduce a novel class of Latent (Markov) Variable Inverse Q-learning algorithms for characterizing animal behavior during complex decision-making tasks.
In this study, we introduce a novel class of Latent (Markov) Variable Inverse Q-learning algorithms for characterizing animal behavior during complex decision-making tasks.