نتایج جستجو برای: DRL

تعداد نتایج: 1144  

Journal: :The Journal of neuroscience : the official journal of the Society for Neuroscience 2009
Masao Sakurai Tomoko Aoki Shingo Yoshikawa Linda A Santschi Hiroko Saito Keita Endo Kyoko Ishikawa Ken-ichi Kimura Kei Ito John B Thomas Chihiro Hama

In Drosophila, odor information received by olfactory receptor neurons (ORNs) is processed by glomeruli, which are organized in a stereotypic manner in the antennal lobe (AL). This glomerular organization is regulated by Wnt5 signaling. In the embryonic CNS, Wnt5 signaling is transduced by the Drl receptor, a member of the Ryk family. During development of the olfactory system, however, it is a...

2017

Differential reinforcement of low rate responding (DRL) can be defined as withholding reinforcement until probability of a target behaviour has decreased to a particular criterion. Typically, the DRL lowers the overall rate of a specific target response by incrementally increasing the time interval between responses and delivering reinforcement contingent upon a response occurring at or above t...

Journal: :Accident; analysis and prevention 1995
J Theeuwes J Riemersma

In Sweden the use of daytime running lights (DRL) was made mandatory on 1 October 1977 for all motor vehicles at once, during all seasons and for all areas. According to a study conducted by Andersson and Nilsson (1981) [Andersson and Nilsson. VTI Swedish Road and Transport Research Institute, Report No. 208A; 1981] the introduction of DRL resulted in a reduction of 11% of multiple accidents du...

2017

Differential reinforcement of low rate responding (DRL) can be defined as withholding reinforcement until probability of a target behaviour has decreased to a particular criterion. Typically, the DRL lowers the overall rate of a specific target response by incrementally increasing the time interval between responses and delivering reinforcement contingent upon a response occurring at or above t...

2014
Wittaya Pimtong Madhusmita Datta Allison M. Ulrich Jennifer Rhodes

The molecular program controlling hematopoietic differentiation is not fully understood. Here, we describe a family of zebrafish genes that includes a novel hematopoietic regulator, draculin-like 3 (drl.3). We found that drl.3 is expressed in mesoderm-derived hematopoietic cells and is retained during erythroid maturation. Moreover, drl.3 expression correlated with erythroid development in gata...

Journal: :The Journal of pharmacology and experimental therapeutics 1997
G Y McClure D E McMillan

The effects of methamphetamine, phencyclidine and delta9-tetrahydrocannabinol on responding under differential reinforcement of low rate schedules (DRL schedules) were studied under three different DRL time requirements. Under the DRL schedules studied, rats were required to space responses at least a minimum, but not more than a maximum, time interval apart. The time intervals between response...

2010
Chongjie Zhang Victor R. Lesser Sherief Abdallah

Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous work has shown that hierarchically organizational control is an effective way of coordinating DRL to improve its speed, quality, and likelihood of convergence. In this paper, we develop a distributed, negotiation-based...

Journal: :The Journal of neuroscience : the official journal of the Society for Neuroscience 2001
S Yoshikawa J L Bonkowsky M Kokel S Shyn J B Thomas

The Drosophila Derailed (DRL) receptor tyrosine kinase (RTK) controls key guidance events in the developing nervous system and mesoderm. Like other members of the "related to tyrosine kinases" (RYK) subfamily of RTKs, DRL has several highly unusual amino acid substitutions within the catalytic domain, raising the possibility that members of this subfamily are catalytically inactive. To test the...

Journal: :CoRR 2014
Jiashi Feng Huan Xu Shie Mannor

We propose a generic distributed learning framework for robust statistical learning on big contaminated data. The Distributed Robust Learning (DRL) framework can reduce the computational cost of traditional robust learning methods by several orders. We provide a sharp analysis on the robustness of DRL, showing that DRL not only preserves the robustness of base robust learning methods, but also ...

2003
Mustafa Imran Ali

The use of dynamically reconfigurable logic (DRL) in the design of embedded systems has added a new dimension to the hardware/software co-synthesis problem. The spatial computing advantage and silicon reuse offered by DRL comes at the cost of reconfiguration latency which has to be effectively managed in order to optimize the system performance and power consumption. The initial attempts at lev...

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