Action-model acquisition from noisy plan traces

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2013, Pages 2444-2450

  Zhuo, Hankz Hankui ^a   Kambhampati, Subbarao ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION MODELS; GRAPHICAL MODEL; LARGE AMOUNTS; LEARNING APPROACH; PLANNING COMMUNITY; PLANNING DOMAINS; REAL WORLD DOMAIN; TRAINING DATA;

ARTIFICIAL INTELLIGENCE; GRAPHIC METHODS;

QUERY LANGUAGES;

EID: 84896060986     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. E. Amir. Learning partially observable deterministic action models. In Proceedings of IJCAI-05, pages 1433-1439, 2005.
2. Piergiorgio Bertoli, Marco Pistore, and Paolo Traverso. Automated composition of web services via planning in asynchronous domains. Artificial Intelligence Journal, 174(3-4):316-361, 2010.
3. J. Blythe, E. Deelman, and Y. Gil. Automatically composed workflows for grid environments. IEEE Intelligent Systems, 19(4):16-23, 2004.
4. S.R.K. Branavan, Nate Kushman, Tao Lei, and Regina Barzilay. Learning high-level planning from text. In Proceedings of ACL-12, 2012.
5. Hung H. Bui. A general model for online probabilistic plan recognition. In Proceedings of IJCAI-03, 2003.
6. R. Fikes and N. J. Nilsson. STRIPS: A new approach to the application of theorem proving to problem solving. Artificial Intelligence Journal, pages 189-208, 1971.
7. Yolanda Gil. Learning by experimentation: Incremental refinement of incomplete planning domains. In Proceedings of ICML-94, pages 87-95, 1994.
8. Jrg Hoffmann, Piergiorgio Bertoli, and Marco Pistore. Web service composition as planning, revisited: In between background theoriesandinitial state uncertainty. In Proceedings of AAAI-07, 2007.
9. Henry A. Kautz and James F. Allen. Generalized plan recognition. In Proceedings of AAAI-86, 1986.
10. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML-01, pages 282-289, 2001.
11. Chu Min LI, Felip Manya, and Jordi Planes. New inference rules for Max-SAT. Journal of Artificial Intelligence Research, 30:321-359, October 2007.
12. Kira Mourao, Luke Zettlemoyer, Ronald P. A. Petrick, and Mark Steedman. Learning strips operators from noisy and incomplete observations. In Proceedings of UAI-12, pages 614-623, 2012.
13. Andrew Y. Ng, H. Jin Kim, Michael I. Jordan, and Shankar Sastry. Autonomous helicopter flight via reinforcement learning. In Proceedings of NIPS-03, 2003.
14. Hanna M. Pasula, Luke S. Zettlemoyer, and Leslie Pack Kaelbling. Learning symbolic models of stochastic domains. Journal of Artificial Intelligence Research, 29:309-352, 2007.
15. Stephen Della Pietra, Vincent J. Della Pietra, and John D. Lafferty. Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4):380-39, 1997.
16. Miquel Ramirez and Hector Geffner. Probabilistic plan recognition using off-the-shelf classical planners. In Proceedings of AAAI-10, 2010.
17. Richard S. Sutton, David McAllester, Satinder Singh, and Yishay Mansour. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of NIPS-00, page 10571063, 2000.
18. Qiang Yang, Kangheng Wu, and Yunfei Jiang. Learning action models from plan examples using weighted MAX-SAT. Artificial Intelligence, 171:107-143, February 2007.
19. Luke S. Zettlemoyer, Hanna M. Pasula, and Leslie Pack Kaelbling. Learning planning rules in noisy stochastic worlds. In Proceedings of AAAI-05, 2005.
20. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, and Lei Li. Learning complex action models with quantifiers and implications. Artificial Intelligence, 174(18):1540-1569, 2010.
21. Hankz Hankui Zhuo, Qiang Yang, Rong Pan, and Lei Li. Cross-domain action-model acquisition for planning via web search. In Proceedings of ICAPS-11, pages 298-305, 2011.
22. H.H. Zhuo, Q. Yang, and S. Kambhampati. Action-model based multi-agent plan recognition. In Advances in Neural Information Processing Systems 25, pages 377-385, 2012.