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Volumn 31, Issue 3, 2001, Pages 288-301

An approach to the design of reinforcement functions in real world, agent-based applications

Author keywords

Autonomous robots; Intelligent robots; Learning classifier systems; Mobile robots; Reinforcement learning

Indexed keywords

REINFORCEMENT LEARNING (RL);

EID: 0035359275     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.931510     Document Type: Article
Times cited : (11)

References (30)
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    • Reinforcement learning in the multi-robot domain
    • (1997) Auton. Robots , vol.4 , Issue.1 , pp. 73-83
  • 15
    • 33847202724 scopus 로고
    • Learning to predict by the method of temporal differences
    • (1988) Mach. Learn. , vol.3 , Issue.1 , pp. 9-44
    • Sutton, R.S.1
  • 17
    • 0031287709 scopus 로고    scopus 로고
    • Anytime learning and adaptation of hierarchical fuzzy logic behaviors
    • (1997) Adapt. Behav. J. , vol.5 , Issue.3-4 , pp. 281-315
    • Bonarini, A.1
  • 25
    • 0001837431 scopus 로고    scopus 로고
    • Comparing reinforcement learning algorithms applied to crisp and fuzzy learning classifier systems
    • Cambridge, MA: AAAI Press
    • (1999) Proceedings GECC099 , pp. 52-59
    • Bonarini, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.