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Volumn , Issue , 2010, Pages 1119-1126

Generalizing apprenticeship learning across hypothesis classes

Author keywords

[No Author keywords available]

Indexed keywords

APPRENTICESHIP LEARNING; LEARNABILITY; MISTAKE BOUNDS; REINFORCEMENT-LEARNING AGENTS; SUFFICIENT CONDITIONS;

EID: 77956555213     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (15)
  • 1
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    • Apprenticeship learning via inverse reinforcement learning
    • Abbeel, Pieter and Ng, Andrew Y. Apprenticeship learning via inverse reinforcement learning. In ICML, 2004.
    • (2004) ICML
    • Abbeel, P.1    Ng, A.Y.2
  • 2
    • 31844444663 scopus 로고    scopus 로고
    • Exploration and apprenticeship learning in reinforcement learning
    • Abbeel, Pieter and Ng, Andrew Y. Exploration and apprenticeship learning in reinforcement learning. In ICML, 2005.
    • (2005) ICML
    • Abbeel, P.1    Ng, A.Y.2
  • 3
    • 0000710299 scopus 로고
    • Queries and concept learning
    • Angluin, Dana. Queries and concept learning. Mach. Learn., 2(4):319-342, 1988.
    • (1988) Mach. Learn. , vol.2 , Issue.4 , pp. 319-342
    • Angluin, D.1
  • 4
    • 65349173646 scopus 로고    scopus 로고
    • Interactive policy learning through confidence-based autonomy
    • Chernova, Sonia and Veloso, Manuela. Interactive policy learning through confidence-based autonomy. JAIR, 34(1):1-25, 2009.
    • (2009) JAIR , vol.34 , Issue.1 , pp. 1-25
    • Chernova, S.1    Veloso, M.2
  • 5
    • 56449093331 scopus 로고    scopus 로고
    • An object-oriented representation for efficient reinforcement learning
    • Diuk, Carlos, Cohen, Andre, and Littman, Michael L. An object-oriented representation for efficient reinforcement learning. In ICML, 2008.
    • (2008) ICML
    • Diuk, C.1    Cohen, A.2    Littman, M.L.3
  • 7
    • 0032649290 scopus 로고    scopus 로고
    • Learning to take actions
    • Khardon, Roni. Learning to take actions. Machine Learning, 35(1):57-90, 1999.
    • (1999) Machine Learning , vol.35 , Issue.1 , pp. 57-90
    • Khardon, R.1
  • 8
    • 56449122733 scopus 로고    scopus 로고
    • Knows what it knows: A framework for self-aware learning
    • Li, Lihong, Littman, Michael L., and Walsh, Thomas J. Knows what it knows: A framework for self-aware learning. In ICML, 2008.
    • (2008) ICML
    • Li, L.1    Littman, M.L.2    Walsh, T.J.3
  • 9
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Littlestone, Nick. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2(4):285-318, 1987.
    • (1987) Machine Learning , vol.2 , Issue.4 , pp. 285-318
    • Littlestone, N.1
  • 11
    • 0036058423 scopus 로고    scopus 로고
    • Effective reinforcement learning for mobile robots
    • Smart, William D. and Kaelbling, Leslie Pack. Effective reinforcement learning for mobile robots. In ICRA, 2002.
    • (2002) ICRA
    • Smart, W.D.1    Kaelbling, L.P.2
  • 12
    • 73549084301 scopus 로고    scopus 로고
    • Reinforcement learning in finite MDPs: PAC analysis
    • Strehl, Alexander L., Li, Lihong, and Littman, Michael L. Reinforcement learning in finite MDPs: PAC analysis. JMLR, 10(2):413-444, 2009.
    • (2009) JMLR , vol.10 , Issue.2 , pp. 413-444
    • Strehl, A.L.1    Li, L.2    Littman, M.L.3
  • 14
    • 77956499540 scopus 로고    scopus 로고
    • Efficient learning of action schemas and web-service descriptions
    • Walsh, Thomas J. and Littman, Michael L. Efficient learning of action schemas and web-service descriptions. In AAAI, 2008.
    • (2008) AAAI
    • Walsh, T.J.1    Littman, M.L.2
  • 15
    • 79958846996 scopus 로고    scopus 로고
    • Exploring compact reinforcement-learning representations with linear regression
    • Walsh, Thomas J., Szita, István, Diuk, Carlos, and Littman, Michael L. Exploring compact reinforcement-learning representations with linear regression. In UAI, 2009.
    • (2009) UAI
    • Walsh, T.J.1    Szita, I.2    Diuk, C.3    Littman, M.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.