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Volumn 5925 LNAI, Issue , 2009, Pages 525-533

Recursive adaptation of stepsize parameter for non-stationary environments

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION METHODS; CONTINUOUS LEARNING; EXPONENTIAL MOVING AVERAGES; HIGHER ORDER; LEARNING AGENTS; LEARNING PARAMETERS; NON-STATIONARY ENVIRONMENT; NONSTATIONARY; RECURSIVE ADAPTATION; REINFORCEMENT LEARNING METHOD; STEPSIZE;

EID: 76649105482     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-11161-7_38     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 3
    • 33748998787 scopus 로고    scopus 로고
    • Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
    • George, A.P., Powell, W.B.: Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming. Machine learning 65(1), 167-198 (2006)
    • (2006) Machine learning , vol.65 , Issue.1 , pp. 167-198
    • George, A.P.1    Powell, W.B.2
  • 6
    • 60349099888 scopus 로고    scopus 로고
    • Ahmadi, M., Taylor, M.E., Stone, P.: IFSA: Incremental feature-set augmentation for reinforcement learning tasks. In: The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems (May 2007)
    • Ahmadi, M., Taylor, M.E., Stone, P.: IFSA: Incremental feature-set augmentation for reinforcement learning tasks. In: The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems (May 2007)
  • 7
    • 35248820427 scopus 로고    scopus 로고
    • Speeding-up reinforcement learning with multi-step actions
    • Dorronsoro, J.R, ed, ICANN 2002, Springer, Heidelberg
    • Schoknecht, R., Riedmiller, M.: Speeding-up reinforcement learning with multi-step actions. In: Dorronsoro, J.R. (ed.) ICANN 2002. LNCS, vol. 2415, pp. 813-818. Springer, Heidelberg (2002)
    • (2002) LNCS , vol.2415 , pp. 813-818
    • Schoknecht, R.1    Riedmiller, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.