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Volumn 13, Issue 2, 1993, Pages 259-284

Genetic Reinforcement Learning for Neurocontrol Problems

Author keywords

adaptive control; Genetic algorithms; neural networks; reinforcement learning

Indexed keywords

ALGORITHMS; COMPUTER AIDED INSTRUCTION; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PERFORMANCE;

EID: 0027701513     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1023/A:1022674030396     Document Type: Article
Times cited : (148)

References (43)
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  • 32
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    • Thierens, D., & Vercauteren, L. (1990). A topology exploiting genetic algorithms to control dynamical systems. In H.P. Schwefel & R. Manners (Eds.), Parallel problems solving from nature (pp. 104–108). Springer/Verlag.
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    • Watkins, C. (1990). Learning with delayed rewards. Ph.D. dissertation, Psychology Department, Cambridge University, Cambridge, England.
  • 38
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    • Whitley, D., & Kauth, K. (1988). GENITOR: A different genetic algorithm. Proceedings of the 1988 Rocky Mountain Conference on Artificial Intelligence (pp. 118–130). Denver.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.