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Volumn , Issue , 2008, Pages 3711-3716

A reinforcement learning system for swarm behaviors

Author keywords

[No Author keywords available]

Indexed keywords

AGENTS; COMPUTATIONAL METHODS; EDUCATION; FUZZY SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; REINFORCEMENT; REINFORCEMENT LEARNING;

EID: 56349112867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634330     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 4
    • 0036592023 scopus 로고    scopus 로고
    • Metalearning and Neuromodulation
    • K. Doya, "Metalearning and Neuromodulation", Neural Networks, Vol. 15(4), pp. 495-506, 2002
    • (2002) Neural Networks , vol.15 , Issue.4 , pp. 495-506
    • Doya, K.1
  • 5
    • 34250731840 scopus 로고    scopus 로고
    • A fuzzy Actor-Critic reinforcement learning network
    • X. S. Wang, Y. H. Cheng and J. Q. Yi, "A fuzzy Actor-Critic reinforcement learning network", Information Sciences, Vol.177, pp. 3764-3781, 2007
    • (2007) Information Sciences , vol.177 , pp. 3764-3781
    • Wang, X.S.1    Cheng, Y.H.2    Yi, J.Q.3
  • 6
    • 56349160514 scopus 로고    scopus 로고
    • Using a time-delay actor-critic neural architecture with dopamine-like reinforcement signal for learning in autonomous robots
    • A. Perez-Uribe, "Using a time-delay actor-critic neural architecture with dopamine-like reinforcement signal for learning in autonomous robots", LNAI, Vol. 2036, pp. 522-533, 2001
    • (2001) LNAI , vol.2036 , pp. 522-533
    • Perez-Uribe, A.1
  • 7
    • 0033213823 scopus 로고    scopus 로고
    • Adaptive internal state space construction method for reinforcement learning of a real-world agent
    • K. Samejima and T. Omori, "Adaptive internal state space construction method for reinforcement learning of a real-world agent", Neural Networks, Vol.12, pp. 1143-1155, 1999
    • (1999) Neural Networks , vol.12 , pp. 1143-1155
    • Samejima, K.1    Omori, T.2
  • 9
    • 27144533956 scopus 로고    scopus 로고
    • Nonlinear prediction by reinforcement learning
    • T. Kuremoto, M. Obayashi, and K. Kobayashi, "Nonlinear prediction by reinforcement learning", LNCS, Vol. 3644, pp. 1085-1094, 2005
    • (2005) LNCS , vol.3644 , pp. 1085-1094
    • Kuremoto, T.1    Obayashi, M.2    Kobayashi, K.3
  • 10
    • 0032140718 scopus 로고    scopus 로고
    • Fuzzy inference system learning by reinforcement learning
    • L. Jouffe, "Fuzzy inference system learning by reinforcement learning", IEEE Trans. Sys., Man and Cybernetics, Vol. 28-3, pp. 338-355, 1998
    • (1998) IEEE Trans. Sys., Man and Cybernetics , vol.28 -3 , pp. 338-355
    • Jouffe, L.1
  • 11
    • 44949204026 scopus 로고    scopus 로고
    • Swarm reinforcement learning algorithm based on exchanging information among agents
    • in Japanese
    • H. Iima and K. Yasuaki, "Swarm reinforcement learning algorithm based on exchanging information among agents", Trans. SICE (in Japanese), Vol.42,No.11, pp. 1244-1251, 2006
    • (2006) Trans. SICE , vol.42 , Issue.11 , pp. 1244-1251
    • Iima, H.1    Yasuaki, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.