Meta reinforcement learning (meta-RL) aims to learn a policy solving set of training tasks simultaneously and quickly adapting new tasks. It requires massive amounts data drawn from infer the common structure shared among Without heavy reward engineering, sparse rewards in long-horizon exacerbate problem sample efficiency meta-RL. Another challenge meta-RL is discrepancy difficulty level tasks,...

background: polycystic ovary syndrome (pcos) is the most common endocrine disorder in women of reproductive age and is the most common cause of infertility due to anovulation. there is no single criterion for the diagnosis of this syndrome. objective: the purpose of this study was to investigate the prevalence of pcos and its associated complications in iranian women using meta-analysis method....

objective background: preterm labor, which defines as live-birth delivery before 37 weeks of gestation is a main determinant of neonatal morbidity and mortality around the world. : the aim of this study was to determine the prevalence of preterm labor in iran by a meta-analysis study, to be as a final measure for policy makers in this field. materials and methods: in this meta-analysis, the dat...

task assignment problem (tap) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. tap is a combinatorial optimization problem and np-complete. this paper proposes a hybrid meta-heuristic algorithm for solving tap in a h...

The various meta-heuristic techniques for cloud and grid environment are: Ant Colony Optimization (ACO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Tabu Search, Firefly Algorithm, BAT Algorithm and many more. So this paper represents the two types of meta-heuristic techniques, i.e. BAT algorithm and Genetic Algorithm. The different types of methods which comprise meta-heuristic ...

The application of Wilber’s Integral Theory to criminology permits a meta-view of the various quadrants of epistemology, which include the objective/exterior, the subjective/interior and the individual/collective manifestations of each. This report discusses research on personality dimensions of criminality that was based both on right quadrant empirical data and left quadrant understanding of ...

Having insight into one's abilities is essential, yet it remains unclear whether people generally perceive their skills accurately or inaccurately. In the present analysis, we examined the overall correspondence between self-evaluations of ability (e.g., academic ability, intelligence, language competence, medical skills, sports ability, and vocational skills) and objective performance measures...

This paper considers a bi-objective model for a scheduling problem of unrelated parallel batch processing machines to minimize the makespan and maximum tardiness, simultaneously. Each job has a specific size and the data corresponding to its ready time, due date and processing time-dependent machine are uncertain and determined by trapezoidal fuzzy numbers. Each machine has a specific capacity,...

In the present study, multi-objective optimization of centrifugal pumps is performed at three steps. At the first step, η and NPSHr in a set of centrifugal pump are numerically investigated using commercial software. Two meta-models based on the evolved group method of data handling (GMDH) type neural networks are obtained, at the second step, for modeling of η and NPSHr with respect to geometr...

The vehicle routing problem with simultaneous pickup and delivery (VRPSPD) is a well-known combinatorial optimization problem which addresses provided service to a set of customers using a homogeneous fleet of capacitated vehicles. The objective is to minimize the distance traveled. The VRPSPD is an NP-hard combinatorial optimization problem. Therefore, practical large-scale instances of VR...