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Volumn , Issue , 2017, Pages

Neural combinatorial optimization with reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT METHODS; RECURRENT NEURAL NETWORKS; REINFORCEMENT LEARNING; TRAVELING SALESMAN PROBLEM;

EID: 85140424199     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (573)

References (8)
  • 3
    • 0034301999 scopus 로고    scopus 로고
    • An effective implementation of the Lin-Kernighan traveling salesman
    • Keld Helsgaun. An effective implementation of the Lin-Kernighan traveling salesman. European Journal of Operational Research, 126:106-130, 2000.
    • (2000) European Journal of Operational Research , vol.126 , pp. 106-130
    • Helsgaun, K.1
  • 4
    • 85071134884 scopus 로고    scopus 로고
    • Keld Helsgaun. LK-H, 2012. URL http://akira.ruc.dk/keld/research/LKH/.
    • (2012) LK-H
    • Helsgaun, K.1
  • 6
    • 84941620184 scopus 로고    scopus 로고
    • ADaM: A method for stochastic optimization
    • Diederik Kingma and Jimmy Ba. Adam: A method for stochastic optimization. In ICLR, 2014.
    • (2014) ICLR
    • Kingma, D.1    Ba, J.2
  • 8
    • 0000337576 scopus 로고
    • Simple statistical gradient following algorithms for connectionnist reinforcement learning
    • Ronald Williams. Simple statistical gradient following algorithms for connectionnist reinforcement learning. In Machine Learning, 1992.
    • (1992) Machine Learning
    • Williams, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.