SCOPUS 정보 검색 플랫폼

2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008

Volumn , Issue , 2008, Pages 551-556

A self-organized fuzzy-neuro reinforcement learning system for continuous state space for autonomous robots

(3) Obayashi, Masanao a Kuremoto, Takashi a Kobayashi, Kunikazu a

a YAMAGUCHI UNIVERSITY (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS ROBOT; CHANGE OF ENVIRONMENT; CONTINUOUS STATE SPACE; INPUT STATE; KHEPERA ROBOTS; LEARNING ABILITIES; Q-LEARNING; REAL ENVIRONMENTS; SELF-ORGANIZED; STOCHASTIC GRADIENT ASCENTS;

ARTIFICIAL INTELLIGENCE; EDUCATION; FUZZY NEURAL NETWORKS; REINFORCEMENT; REINFORCEMENT LEARNING;

ROBOTS;

EID: 70449566970 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/CIMCA.2008.25 Document Type: Conference Paper

Times cited : (10)

References (8)

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2
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6
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- A reinforcement learning system for swarm behaviors
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7
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- Fuzzy Interpolation-Based Q-learning with continupus inouts and outputs
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- A fuzzy Actor- Critic reinforcement learning network
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.