Distributional Reinforcement Learning (RL) maintains the entire probability distribution of reward-to-go, i.e. return, providing more learning signals that account for uncertainty associated with policy performance, which may be beneficial trading off exploration and exploitation in general. Previous works distributional RL focused mainly on computing state-action-return distributions, here we ...

A Distributional (Single) Index Model (DIM) is a semiparametric model for distributional regression, that is, estimation of conditional distributions given covariates. The method combination classical single-index models the mean response covariates, and isotonic regression. index parametric, whereas are estimated nonparametrically under stochastic ordering constraint. We show consistency our e...

Density Current is formed when a fluid with heavier density than the surrounding fluid flows down an inclined bed. These types of flows are common in nature and can be produced by; salinity, temperature inhomogeneities, or suspended particles of silt and clay. Driven by the density difference between inflow and clear water in reservoirs, density current plunges clear water and moves towards a d...

Introduction: Human embryonic stem cells (hESCs) are pluripotent cells that can proliferate and differentiate to many cell types. Their electrophysiological properties have not yet been chracterzed. In this study, the passive properties (such as resting membrane potential, input resistance and capacitance) and the contribution of delayed rectifier K+ channel currents to the membrane conducta...