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Volumn , Issue , 2005, Pages 665-671

Multiactor approach and hexapod robot learning

Author keywords

Hexapod robot; Posture control; Q multiactor; Reinforcement learning

Indexed keywords

COMPUTER SIMULATION; LEARNING SYSTEMS; MOTION CONTROL; PROBLEM SOLVING; TRAJECTORIES;

EID: 28444453633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (13)
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    • Multiagent reinforcement learning: Theoretical framework and an algorithm
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    • Hu, J.1    Wellman, M.P.2
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  • 9
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    • Stable adaptive neural control of systems with closed kinematic chains applied to biologically-inspired walking robots
    • Bristol: Faculty of engineering, University of the West of England, Bristol
    • M.J.Randall, "Stable adaptive neural control of systems with closed kinematic chains applied to biologically-inspired walking robots," These in philosophy. Bristol: Faculty of engineering, University of the West of England, Bristol, 322 p, 1999.
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  • 10
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    • S.Sehad, "Contribution à l'étude et au développement de modèles connexionnistes à apprentissage par renforcement: application à l'acquisition de comportements adaptatifs," Thèse de génie informatique et traitement du signal. Montpellier: Université de Montpellier II, 112 p, 1996.
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  • 11
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.