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Volumn 13, Issue 3, 2001, Pages 213-220

Reinforcement learning using the stochastic fuzzy min-max neural network

Author keywords

Fuzzy min max neural network; Pole balancing problem; Reinforcement learning; Stochastic automaton

Indexed keywords

AUTOMATA THEORY; FUZZY SETS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 0035363828     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011344810020     Document Type: Article
Times cited : (26)

References (15)
  • 10
    • 0000123778 scopus 로고
    • Self-improving reactive agents based on reinforcement learning, planning and teaching
    • (1992) Machine Learning , vol.8 , pp. 293-321
    • Lin, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.