Velocity estimation in reinforcement learning
C. Velazquez, M. Villarreal, A. Bouzas
The paper investigates how people predict a fluctuating environment using reinforcement learning, finding that a hierarchical model with velocity estimation and uncertainty constraints performs best.
Computational Brain & Behavior · Jun 1, 2019Peer-reviewedAnimal Behavior & Cognition