Navegação Ciências Exatas e da Terra por Assunto "Reinforcement learning"
Resultados 1-2 de 2
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Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control
(2021) [Artigo de periódico]In reinforcement learning (RL), dealing with non-stationarity is a challenging issue. However, some domains such as traffic optimization are inherently non-stationary. Causes for and effects of this are manifold. In ... -
Sharing diverse information gets driver agents to learn faster : an application in en route trip building
(2021) [Artigo de periódico]With the increase in the use of private transportation, developing more efficient ways to distribute routes in a traffic network has become more and more important. Several attempts to address this issue have already been ...