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Conference Paper

Algorithms for Learning Markov Field Policies

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83823

Boularias,  A
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84027

Kroemer,  O
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84135

Peters,  J
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Boularias, A., Kroemer, O., & Peters, J. (2012). Algorithms for Learning Markov Field Policies. In P. Bartlett, F. Pereira, C. Burges, & L. Bottou (Eds.), Advances in Neural Information Processing Systems 25 (pp. 2186-2194).


Cite as: http://hdl.handle.net/11858/00-001M-0000-000E-FE01-8
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