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- W2392151718 abstract "Aimed at the poor performance of the current various routing algorithms,due to the poor adaptability to various changing net-work topologies and loads,an adaptive routing algorithm called RLAR is proposed,and the algorithm is based on reinforcement learning which implemented by gradient ascent algorithm.Reinforcement learning means learning a policy that a mapping of states into actions which based on feedback from the environment.The learning can be viewed as browsing a set of policies while evaluating them by trial through interaction with the environment.Applying the reinforcement learning strategy to the research of routing,as a novel method,the theory is proved.The performance of RLAR and other routing methods is comprehensively compared,lots of simulation results show that RLAR can remarkably enhance the performance of network routing." @default.
- W2392151718 created "2016-06-24" @default.
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- W2392151718 date "2011-01-01" @default.
- W2392151718 modified "2023-09-26" @default.
- W2392151718 title "RLAR:Adaptive routing algorithm based onreinforcement learning" @default.
- W2392151718 hasPublicationYear "2011" @default.
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