The hierarchical task network planning method based on Monte Carlo Tree Search.

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Title: The hierarchical task network planning method based on Monte Carlo Tree Search.
Authors: Shao, Tianhao1, 296749641@qq.com, Zhang, Hongjun1, jsnjzhj@263.net, Cheng, Kai1, chengkai911@msn.com, Zhang, Ke1, 2387303531@qq.com, Bie, Lin1, insomniaeggy@126.com
Source: Knowledge-Based Systems; Aug2021, Vol. 225, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 150615015
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: The hierarchical task network planning method based on Monte Carlo Tree Search.
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  Data: <searchLink fieldCode="AU" term="%22Shao%2C+Tianhao%22">Shao, Tianhao</searchLink><relatesTo>1</relatesTo>, <i>296749641@qq.com</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Hongjun%22">Zhang, Hongjun</searchLink><relatesTo>1</relatesTo>, <i>jsnjzhj@263.net</i><br /><searchLink fieldCode="AU" term="%22Cheng%2C+Kai%22">Cheng, Kai</searchLink><relatesTo>1</relatesTo>, <i>chengkai911@msn.com</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Ke%22">Zhang, Ke</searchLink><relatesTo>1</relatesTo>, <i>2387303531@qq.com</i><br /><searchLink fieldCode="AU" term="%22Bie%2C+Lin%22">Bie, Lin</searchLink><relatesTo>1</relatesTo>, <i>insomniaeggy@126.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Knowledge-Based+Systems%22">Knowledge-Based Systems</searchLink>; Aug2021, Vol. 225, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=150615015
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.knosys.2021.107067
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      – Code: eng
        Text: English
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      – TitleFull: The hierarchical task network planning method based on Monte Carlo Tree Search.
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            NameFull: Shao, Tianhao
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            NameFull: Zhang, Hongjun
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            NameFull: Cheng, Kai
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            NameFull: Zhang, Ke
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              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 225
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