Central Station Statistics

1898 ◽  
Vol 46 (1185supp) ◽  
pp. 18996-18996
Keyword(s):  
Central Station

scholarly journals Fully distributed actor-critic architecture for multitask deep reinforcement learning

2021 ◽  
Vol 36 ◽  
Author(s):  
Sergio Valcarcel Macua ◽  
Ian Davies ◽  
Aleksi Tukiainen ◽  
Enrique Munoz de Cote
Keyword(s):  
Neural Network ◽  
Reinforcement Learning ◽  
Duality Theory ◽  
Deep Neural Network ◽  
Original Problem ◽  
Almost Sure Convergence ◽  
Continuous Control ◽  
Access Data ◽  
Central Station ◽  
Common Policy

Abstract We propose a fully distributed actor-critic architecture, named diffusion-distributed-actor-critic Diff-DAC, with application to multitask reinforcement learning (MRL). During the learning process, agents communicate their value and policy parameters to their neighbours, diffusing the information across a network of agents with no need for a central station. Each agent can only access data from its local task, but aims to learn a common policy that performs well for the whole set of tasks. The architecture is scalable, since the computational and communication cost per agent depends on the number of neighbours rather than the overall number of agents. We derive Diff-DAC from duality theory and provide novel insights into the actor-critic framework, showing that it is actually an instance of the dual-ascent method. We prove almost sure convergence of Diff-DAC to a common policy under general assumptions that hold even for deep neural network approximations. For more restrictive assumptions, we also prove that this common policy is a stationary point of an approximation of the original problem. Numerical results on multitask extensions of common continuous control benchmarks demonstrate that Diff-DAC stabilises learning and has a regularising effect that induces higher performance and better generalisation properties than previous architectures.

scholarly journals TECHNICAL SOLUTION IN A CENTRAL STATION RE-DEVELOPMENT UNDER RAILWAY OPERATION RESTRICTED BY VARIOUS URBAN CONDITIONS

2011 ◽  
Vol 17 (35) ◽  
pp. 171-176
Author(s):  
Toshiya OTA ◽  
Hidenori TSUKATANI ◽  
Sadamitsu NEZU ◽  
Sakae KASHIO ◽  
Tadashi KONDO ◽  
...  
Keyword(s):  
Technical Solution ◽  
Railway Operation ◽  
Urban Conditions ◽  
Central Station

Electric railways on central station power

1951 ◽  
Vol 70 (8) ◽  
pp. 700-700
Author(s):  
Llewellyn Evans
Keyword(s):  
Central Station

When the Kids Conquered the Kitchen: Danish Taste Education and the New Nordic Kitchen

2018 ◽  
Vol 18 (4) ◽  
pp. 82-93
Author(s):  
Karen Wistoft ◽  
Lars Qvortrup
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Food Education ◽  
The World ◽  
Taste Education ◽  
Cultural Movement ◽  
Central Station

The New Nordic Kitchen has conquered the world, Agern and the Nordic Food Hall at Grand Central Station in New York City and Noma in Copenhagen serving as notable examples. Normally this development is perceived as something that came out of nowhere, or as the result of the initiatives of specific individuals such as René Redzepi, chef at Noma. In this article, we will argue that it is part of a much broader cultural movement replacing precision, nutrition, and hygiene with pleasure, taste, and creativity as the center of kitchen culture, food education, and child upbringing. We support this argument by focusing on children's cookbooks published in Denmark during the period 1971–2016.

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