STAGE-WISE LEARNING OF REACHING USING LITTLE PRIOR KNOWLEDGE

Stage-Wise Learning of Reaching Using Little Prior Knowledge

In some manipulation robotics environments, because of the difficulty of precisely modeling dynamics and computing features which describe well the variety Bed/Daybed/Frames of scene appearances, hand-programming a robot behavior is often intractable.Deep reinforcement learning methods partially alleviate this problem in that they can dispense with

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Multi-Locus Next-Generation Sequence Typing of DNA Extracted From Pooled Colonies Detects Multiple Unrelated Candida albicans Strains in a Significant Proportion of Patient Samples

The yeast Candida albicans is an important opportunistic human pathogen.For C.albicans strain typing or drug susceptibility testing, Enhancers a single colony recovered from a patient sample is normally used.This is insufficient when multiple strains are present at the site sampled.How often this is the case is unclear.Previous studies, confined to

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Biomass partitioning, yield and economic performance of green gram (Vigna radiate L.) genotypes as influenced by different irrigation levels

A field experiment Lifestyle was conducted during the Kharif season of2020 with four main plot treatments consisting of irrigation levels (No post sowing irrigation, one irrigation at the flower initiation stage, one irrigation at the pod filling stage and two irrigations each at flower initiation and pod filling stage) and five subplot treatments

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Determinants of caesarean section in Bangladesh: Cross-sectional analysis of Bangladesh Demographic and Health Survey 2014 Data.

BACKGROUND:Caesarean section (CS) has been on the rise worldwide and Bangladesh is no exception.In Bangladesh, the CS rate, which includes both institutional and community-based deliveries, has increased from about 3% in 2000 to about 24% in 2014.This study examines the association of reported complications around delivery and socio-demographic, he

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