A DDQN Path Planning Algorithm Based on Experience Classification and Multi Steps for Mobile Robots
A DDQN Path Planning Algorithm Based on Experience Classification and Multi Steps for Mobile Robots
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Constrained by the numbers of action space and state space, Q-learning cannot be applied to continuous state space. Targeting this problem, the double deep Q network (DDQN) algorithm and the corresponding improvement methods were explored. First of all, to improve the accuracy of the DDNQ algorithm in estimating the target Q value in the training p...
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Full title
A DDQN Path Planning Algorithm Based on Experience Classification and Multi Steps for Mobile Robots
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TN_cdi_proquest_journals_2693981989
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2693981989
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics11142120
