메뉴 건너뛰기




Volumn , Issue , 2010, Pages 451-458

Incremental learning of relational action rules

Author keywords

Inductive logic programming; Online and incremental learning; Relational reinforcement learning

Indexed keywords

ACTION MODELS; ACTION RULES; CURRENT MODELS; DATA-DRIVEN; FIRST ORDER; INCREMENTAL LEARNING; RELATIONAL REINFORCEMENT LEARNING; STATE OF THE ART;

EID: 79952368301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2010.73     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 3
    • 85132026293 scopus 로고
    • Integrated architectures for learning, planning, and reacting based on approximating dynamic programming
    • R. S. Sutton, "Integrated architectures for learning, planning, and reacting based on approximating dynamic programming," in ICML, 1990, pp. 216-224.
    • (1990) ICML , pp. 216-224
    • Sutton, R.S.1
  • 4
    • 84880882489 scopus 로고    scopus 로고
    • Online learning and exploiting relational models in reinforcement learning
    • T. Croonenborghs, J. Ramon, H. Blockeel, and M. Bruynooghe, "Online learning and exploiting relational models in reinforcement learning," in IJCAI, 2007, pp. 726-731.
    • (2007) IJCAI , pp. 726-731
    • Croonenborghs, T.1    Ramon, J.2    Blockeel, H.3    Bruynooghe, M.4
  • 5
    • 84948172455 scopus 로고    scopus 로고
    • Speeding up relational reinforcement learning through the use of an incremental first order decision tree algorithm
    • ECML
    • K. Driessens, J. Ramon, and H. Blockeel, "Speeding up relational reinforcement learning through the use of an incremental first order decision tree algorithm," in ECML, LNAI 2167, 2001, pp. 97-108.
    • (2001) LNAI , vol.2167 , pp. 97-108
    • Driessens, K.1    Ramon, J.2    Blockeel, H.3
  • 6
    • 79952415359 scopus 로고    scopus 로고
    • Utile distinctions for relational reinforcement learning
    • W. Dabney and A. McGovern, "Utile distinctions for relational reinforcement learning," in IJCAI, 2007, pp. 738-743.
    • (2007) IJCAI , pp. 738-743
    • Dabney, W.1    McGovern, A.2
  • 7
    • 85055241151 scopus 로고
    • Inductive learning of reactive action models
    • S. Benson, "Inductive learning of reactive action models," in ICML 1995, 1995, pp. 47-54.
    • (1995) ICML 1995 , pp. 47-54
    • Benson, S.1
  • 8
    • 85148686343 scopus 로고
    • Learning by experimentation: Incremental refinement of incomplete planning domains
    • Y. Gil, "Learning by experimentation: Incremental refinement of incomplete planning domains," in ICML, 1994, pp. 87-95.
    • (1994) ICML , pp. 87-95
    • Gil, Y.1
  • 9
    • 84969334117 scopus 로고
    • Learning by observation and practice: An incremental approach for planning operator acquisition
    • X. Wang, "Learning by observation and practice: An incremental approach for planning operator acquisition," in ICML, 1995, pp. 549-557.
    • (1995) ICML , pp. 549-557
    • Wang, X.1
  • 10
    • 0027647461 scopus 로고
    • Discovery as autonomous learning from the environment
    • W. M. Shen, "Discovery as autonomous learning from the environment," Machine Learning, vol. 12, no. 1-3, pp. 143-165, 1993.
    • (1993) Machine Learning , vol.12 , Issue.1-3 , pp. 143-165
    • Shen, W.M.1
  • 12
    • 1942421161 scopus 로고    scopus 로고
    • Relational instance based regression for relational reinforcement learning
    • K. Driessens and J. Ramon, "Relational instance based regression for relational reinforcement learning," in ICML, 2003, pp. 123-130.
    • (2003) ICML , pp. 123-130
    • Driessens, K.1    Ramon, J.2
  • 13
    • 57749171364 scopus 로고    scopus 로고
    • Efficient learning of action schemas and web-service descriptions
    • T. J. Walsh and M. L. Littman, "Efficient learning of action schemas and web-service descriptions," in AAAI, 2008, pp. 714-719.
    • (2008) AAAI , pp. 714-719
    • Walsh, T.J.1    Littman, M.L.2
  • 15
    • 0033905392 scopus 로고    scopus 로고
    • Multistrategy theory revision: Induction and abduction in INTHELEX
    • F. Esposito, G. Semeraro, N. Fanizzi, and S. Ferilli, "Multistrategy theory revision: Induction and abduction in INTHELEX," Machine Learning, vol. 38, no. 1-2, pp. 133-156, 2000.
    • (2000) Machine Learning , vol.38 , Issue.1-2 , pp. 133-156
    • Esposito, F.1    Semeraro, G.2    Fanizzi, N.3    Ferilli, S.4
  • 16
    • 79952394918 scopus 로고    scopus 로고
    • Towards clausal discovery for stream mining
    • A. Dries and L. De Raedt, "Towards clausal discovery for stream mining," in ILP, 2009.
    • (2009) ILP
    • Dries, A.1    De Raedt, L.2
  • 17
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • N. Littlestone, "Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm," Machine Learning, vol. 2, no. 4, pp. 285-318, 1988.
    • (1988) Machine Learning , vol.2 , Issue.4 , pp. 285-318
    • Littlestone, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.