| Naslov: | Transfer learning in robotics : An upcoming breakthrough? A review of promises and challenges |
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| Avtorji: | ID Jaquier, Noemie (Avtor)
ID Welle, Michael C. (Avtor)
ID Gams, Andrej, Institut Jožef Stefan (Avtor)
ID Yao, Kunpeng (Avtor)
ID Fichera, Bernardo (Avtor)
ID Billard, Aude (Avtor)
ID Ude, Aleš, Institut Jožef Stefan (Avtor)
ID Asfour, Tamim (Avtor)
ID Kragič, Danica (Avtor) |
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| Datoteke: |  PDF - Predstavitvena datoteka, prenos (1,69 MB)
MD5: 484BBC7BF4B76AE45B49CD69CC40F2A1
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| Jezik: | Angleški jezik |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: |  IJS - Institut Jožef Stefan
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| Povzetek: | Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents. The core concept— reusing prior knowledge to learn in and from novel situations—is successfully leveraged by humans to handle novel situations. In recent years, transfer learning has received renewed interest from the community from different perspectives, including imitation learning, domain adaptation, and transfer of experience from simulation to the real world, among others. In this paper, we unify the concept of transfer learning in robotics and provide the first taxonomy of its kind considering the key concepts of robot, task, and environment. Through a review of the promises and challenges in the field, we identify the need of transferring at different abstraction levels, the need of quantifying the transfer gap and the quality of transfer, as well as the dangers of negative transfer. Via this position paper, we hope to channel the effort of the community towards the most significant roadblocks to realize the full potential of transfer learning in robotics |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 29.11.2023 |
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| Datum sprejetja članka: | 04.07.2024 |
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| Datum objave: | 13.09.2024 |
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| Založnik: | SAGE Publications |
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| Leto izida: | 2024 |
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| Št. strani: | 21 str. |
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| Izvor: | ZDA |
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| PID: | 20.500.12556/DiRROS-20517  |
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| UDK: | 007.5 |
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| ISSN pri članku: | 0278-3649 |
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| DOI: | 10.1177/02783649241273565 |
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| COBISS.SI-ID: | 208015875 |
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| Avtorske pravice: | © The Author(s) 2024. |
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| Datum objave v DiRROS: | 07.10.2024 |
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| Število ogledov: | 22 |
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| Število prenosov: | 501 |
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| Metapodatki: |     |
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