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Volumn , Issue , 2017, Pages

Learning invariant feature spaces to transfer skills with reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; REINFORCEMENT LEARNING; ROBOTICS;

EID: 85048435317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (305)

References (35)
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    • Unsupervised cross-domain transfer in policy gradient reinforcement learning via manifold alignment
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    • Shai Ben-David and Reba Schuller. Exploiting task relatedness for multiple task learning. In Learning Theory and Kernel Machines, pp. 567-580. Springer, 2003.
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    • Ben-David, S.1    Schuller, R.2
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    • Reuse of neural modules for general video game playing
    • abs
    • Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, and Risto Miikkulainen. Reuse of neural modules for general video game playing. CoRR, abs/1512.01537, 2015.
    • (2015) CoRR
    • Braylan, A.1    Hollenbeck, M.2    Meyerson, E.3    Miikkulainen, R.4
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    • Ferrari, P.F.1    Rozzi, S.2    Fogassi, L.3
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    • Iterative linear quadratic regulator design for nonlinear biological movement systems
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    • (2004) ICINCO , Issue.1
    • Li, W.1    Todorov, E.2
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    • Transfer learning via inter-task mappings for temporal difference learning
    • Matthew Taylor, Peter Stone, and Yaxin Liu. Transfer learning via inter-task mappings for temporal difference learning. Journal of Machine Learning Research, 8(1):2125-2167, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , Issue.1 , pp. 2125-2167
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    • Manifold alignment without correspondence
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.