Recursive Least Squares Policy Control with Echo State Network

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD)(2021)

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摘要
The echo state network (ESN) is a special type of recurrent neural networks for processing the time-series dataset. However, limited by the strong correlation among sequential samples of the agent, ESN-based policy control algorithms are difficult to use the recursive least squares (RLS) algorithm to update the ESN's parameters. To solve this problem, we propose two novel policy control algorithms...
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关键词
Training,Fuzzy control,Correlation,Recurrent neural networks,Simulation,Big Data,Data models
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