Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel h...
Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay
About this item
Full title
Author / Creator
Zhou, Yi , Liu, Zhixiang , Shi, Huaguang , Li, Si , Ning, Nianwen , Liu, Fuqiang and Gao, Xiaozhi
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
Multi-agent multi-target search strategies can be utilized in complex scenarios such as post-disaster search and rescue by unmanned aerial vehicles. To solve the problem of fixed target and trajectory, the current multi-agent multi-target search strategies are mainly based on deep reinforcement learning (DRL). However, the training of agents by the...
Alternative Titles
Full title
Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1ef9b8b2268d45a89d83b68af9e647c6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1ef9b8b2268d45a89d83b68af9e647c6
Other Identifiers
ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-023-00985-w
