… Having introduced a framework for identifying optimal behavioral hierarchies, we turn to
the question of whether human learners decompose novel tasks in an optimal fashion. Some …

… to approximate an optimal behavioral strategy while interacting with its environment. More
technically, RL is about the online approximation of solutions to stochastic optimal control …

Hierarchical optimization or multi-level programming … decision makers in a hierarchical
organization. They become more … In the proposed hierarchy decision process, the leader first sets …

… to generate and control behavior. When considering the computational structures or
mechanisms that may underlie behavior, a common suggestion has been that hierarchies may be …

… Here, we attempt to bridge this gap by describing the neural optimal control hierarchy (NOCH),
which can serve as a foundation for biologically plausible models of neural motor control. …

… , teasing apart different forms of hierarchical structure, placing a … behavioral hierarchies
within the prefrontal cortex. In addition to offering explanations for some key aspects of behavior …

… that a hierarchical representation of actions optimally predicts the future behavioral state of
… follow from the current behavioral state is to group these current behaviors in a hierarchically …

… In this paper, we described a framework integrating cognitive behavioral models, Bayesian
inference, and recedinghorizon optimal control for autonomous decision making in a …

… The organization is then likely to be hierarchical. The … compute the optimum span of control
of each level of a hierarchy. The … At each level of the hierarchy the results of both superior and …

… that optimal Lévy searches may emerge from simple behaviors … Our results show that simple
search behaviors of extinct … walk clusters that converge to optimal Lévy patterns. Primary …