Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization.
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| Title: | Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization. |
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| Authors: | Hu, Xiaobo1, xiaobohu@bjtu.edu.cn, Lin, Youfang1, yflin@bjtu.edu.cn, Wang, Jinwen1, jw.wang@bjtu.edu.cn, Liu, Yue1, liu.yue@bjtu.edu.cn, Wang, Shuo1, shuo.wang@bjtu.edu.cn, Fan, Hehe2, hehefan@zju.edu.cn, Lv, Kai1, lvkai@bjtu.edu.cn |
| Source: | Neural Networks; Mar2026, Vol. 195, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190988367 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hu%2C+Xiaobo%22">Hu, Xiaobo</searchLink><relatesTo>1</relatesTo>, <i>xiaobohu@bjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Lin%2C+Youfang%22">Lin, Youfang</searchLink><relatesTo>1</relatesTo>, <i>yflin@bjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Jinwen%22">Wang, Jinwen</searchLink><relatesTo>1</relatesTo>, <i>jw.wang@bjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Yue%22">Liu, Yue</searchLink><relatesTo>1</relatesTo>, <i>liu.yue@bjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Shuo%22">Wang, Shuo</searchLink><relatesTo>1</relatesTo>, <i>shuo.wang@bjtu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Fan%2C+Hehe%22">Fan, Hehe</searchLink><relatesTo>2</relatesTo>, <i>hehefan@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Lv%2C+Kai%22">Lv, Kai</searchLink><relatesTo>1</relatesTo>, <i>lvkai@bjtu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Networks%22">Neural Networks</searchLink>; Mar2026, Vol. 195, pN.PAG-N.PAG, 1p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190988367 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neunet.2025.108265 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hu, Xiaobo – PersonEntity: Name: NameFull: Lin, Youfang – PersonEntity: Name: NameFull: Wang, Jinwen – PersonEntity: Name: NameFull: Liu, Yue – PersonEntity: Name: NameFull: Wang, Shuo – PersonEntity: Name: NameFull: Fan, Hehe – PersonEntity: Name: NameFull: Lv, Kai IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 08936080 Numbering: – Type: volume Value: 195 Titles: – TitleFull: Neural Networks Type: main |
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