메뉴 건너뛰기




Volumn 3, Issue , 2004, Pages 2350-2356

A modified approach to fuzzy Q learning for mobile robots

Author keywords

Fuzzy logic; Fuzzy reinforcement learning; Gradient descent based reinforcement learning; Robotic soccer

Indexed keywords

FUZZY INFERENCE SYSTEM (FIS); FUZZY REINFORCEMENT LEARNING; GRADIENT DESCENT BASED REINFORCEMENT LEARNING; ROBOTIC SOCCER;

EID: 15744389481     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1400680     Document Type: Conference Paper
Times cited : (26)

References (8)
  • 2
    • 0032140718 scopus 로고    scopus 로고
    • Fuzzy inference system learning by reinforcement methods
    • August
    • L. Jouffe, "Fuzzy Inference System Learning by Reinforcement Methods", IEEE Trans. Systems, Man and Cybernetics-Part C, Vol. 28, No. 3, August 1998.
    • (1998) IEEE Trans. Systems, Man and Cybernetics-part C , vol.28 , Issue.3
    • Jouffe, L.1
  • 5
    • 0003411271 scopus 로고
    • Efficient exploration in reinforcement learning
    • Carnegie Mellon University, Pittsburgh, PA
    • S. Thrun, "Efficient exploration in reinforcement learning", Technical Report CMU-CS-92-102, Carnegie Mellon University, Pittsburgh, PA, 1992.
    • (1992) Technical Report , vol.CMU-CS-92-102
    • Thrun, S.1
  • 6
    • 0028442413 scopus 로고
    • Associative reinforcement learning: Functions in k-DNF
    • L. P. Kaelbling, "Associative Reinforcement Learning: Functions in k-DNF", Machine Learning, Vol. 15, Number 3, 1994.
    • (1994) Machine Learning , vol.15 , Issue.3
    • Kaelbling, L.P.1
  • 7
    • 0032679082 scopus 로고    scopus 로고
    • Exploration of multi-state environments: Local measures and back-propagation of uncertainty
    • N. Meuleau and P. Bourgine, "Exploration of multi-state environments: Local measures and back-propagation of uncertainty", Machine Learning, Vol. 35(2), 1999.
    • (1999) Machine Learning , vol.35 , Issue.2
    • Meuleau, N.1    Bourgine, P.2
  • 8
    • 15744382410 scopus 로고    scopus 로고
    • Exploration control in reinforcement learning using optimistic model selection
    • A. Danyluk and C. Bradley (Eds)
    • J. Wyatt, Exploration Control in Reinforcement Learning Using Optimistic Model Selection, Proc. of the 18th Int. Conf. on Machine Learning, A. Danyluk and C. Bradley (Eds), 2001.
    • (2001) Proc. of the 18th Int. Conf. on Machine Learning
    • Wyatt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.