Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
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[1] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[2] Keiji Kanazawa,et al. A model for reasoning about persistence and causation , 1989 .
[3] T Poggio,et al. Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks , 1990, Science.
[4] Wray L. Buntine. Theory Refinement on Bayesian Networks , 1991, UAI.
[5] David Heckerman,et al. Learning Bayesian Networks: Search Methods and Experimental Results , 1995 .
[6] Craig Boutilier,et al. Exploiting Structure in Policy Construction , 1995, IJCAI.
[7] Kevin P. Murphy,et al. Learning the Structure of Dynamic Probabilistic Networks , 1998, UAI.
[8] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[9] Michael Kearns,et al. Efficient Reinforcement Learning in Factored MDPs , 1999, IJCAI.
[10] Thomas G. Dietterich. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition , 1999, J. Artif. Intell. Res..
[11] Daphne Koller,et al. Active Learning for Structure in Bayesian Networks , 2001, IJCAI.
[12] Carlos Guestrin,et al. Max-norm Projections for Factored MDPs , 2001, IJCAI.
[13] Sridhar Mahadevan,et al. Continuous-Time Hierarchical Reinforcement Learning , 2001, ICML.
[14] Tommi S. Jaakkola,et al. Unsupervised Active Learning in Large Domains , 2002, UAI.
[15] Shlomo Zilberstein,et al. Symbolic Generalization for On-line Planning , 2002, UAI.
[16] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[17] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[18] Kevin Murphy,et al. Active Learning of Causal Bayes Net Structure , 2006 .
[19] Andrew G. Barto,et al. Causal Graph Based Decomposition of Factored MDPs , 2006, J. Mach. Learn. Res..
[20] Richard E. Neapolitan,et al. Learning Bayesian networks , 2007, KDD '07.