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Volumn 5717 LNCS, Issue , 2009, Pages 75-82

Learning autonomous helicopter flight with evolutionary reinforcement learning

Author keywords

Autonomous helicopter; Evolutionary computation; Reinforcement Learning

Indexed keywords

AUTONOMOUS HELICOPTERS; CONTINUOUS CONTROL ACTION; EVOLUTIONARY COMPUTATIONS; FINLAND; FLIGHT REGIME; HELSINKI; RADIO CONTROL; REINFORCEMENT LEARNING METHOD; STANFORD UNIVERSITY; STATE SPACE; AUTONOMOUS HELICOPTER FLIGHTS; NEURO CONTROLLERS;

EID: 78651248230     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04772-5_11     Document Type: Conference Paper
Times cited : (18)

References (5)
  • 1
    • 38449092317 scopus 로고    scopus 로고
    • Helicopter flight dynamics using soft computing models
    • Moreno Díaz, R., Pichler, F., Quesada- Arencibia, A. (eds.). Springer, Heidelberg
    • de Lope Asiaín, J., Martín, J.J.S., José Antonio Martin, H.: Helicopter flight dynamics using soft computing models. In: Moreno Díaz, R., Pichler, F., Quesada- Arencibia, A. (eds.) EUROCAST 2007. LNCS, vol. 4739, pp. 621-628. Springer, Heidelberg (2007)
    • (2007) EUROCAST 2007. LNCS , vol.4739 , pp. 621-628
    • De Lope, A.J.1    Martín, J.J.S.2    Martin, J.A.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.