Topic: Kullback-Leibler divergence

We trained five rats to perform a complex auditory-guided task in a large environment (diameter 160 cm) with twelve nose-poke ports. To obtain rewards, rats had to position themselves at specific locations indicated by sounds. Despite the nontrivial task, rats reached high success rates within two 70-minute sessions. We modeled the task as a Markov Decision Process. Observed rat trajectories resembled the model's optimal policies. However, while optimal policies were deterministic, observed behavior was non-deterministic. We introduced non-deterministic, information-limited policies that reali