ing from social relations to reproducing social and political relations

today, due to ever-increasing knowledge and large volumes of information, educational planners of various fields around the world, have been seeking to establish a better and faster refresh for learning. integration can be a good educational strategy by blending different subjects and contents when presented to students. the aim of this study is to evaluate the medical literature about integrat...

We present the Variational Adaptive Newton (VAN) method which is a black-box optimization method especially suitable for explorativelearning tasks such as active learning and reinforcement learning. Similar to Bayesian methods, VAN estimates a distribution that can be used for exploration, but requires computations that are similar to continuous optimization methods. Our theoretical contributio...

Sample efficiency is a critical property when optimizing policy parameters for the controller of a robot. In this paper, we evaluate two state-of-the-art policy optimization algorithms. One is a recent deep reinforcement learning method based on an actor-critic algorithm, Deep Deterministic Policy Gradient (DDPG), that has been shown to perform well on various control benchmarks. The other one ...