Computational models of behavioral addictions: State of the art and future directions

•Behavioral addictions share neurobiological and behavioral characteristics with SUDs.•Computational modeling may help clarify underlying mechanisms.•Aberrant model-based & -free control are presented as common computational principles.•Reinforcement learning, Bayesian inference, and neural models are introduced.•Possible extensions of models for SUDs, as well as new perspectives, are discussed.