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Number of items: 3.

Hachiya, Hirotaka and Akiyama, Takayuki and Sugiyama, Masashi and Peters, Jan (2009):
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning.
In: Neural Networks, pp. 1399-1410, 22, (10), ISSN 0893-6080,
DOI: 10.1016/j.neunet.2009.01.002,
[Online-Edition: http://robot-learning.de/uploads/Publications/hachiya-Adapti...],
[Article]

Hachiya, Hirotaka and Akiyama, Takayuki and Sugiyama, Masashi and Peters, Jan (2009):
Efficient Data Reuse in Value Function Approximation.
In: 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, IEEE, In: Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning., Nashville, TN, USA, 30 March-2 April 2009, DOI: 10.1109/ADPRL.2009.4927519,
[Online-Edition: http://robot-learning.de/uploads/Publications/ADPRL2009-Hach...],
[Conference or Workshop Item]

Hachiya, Hirotaka and Peters, Jan and Sugiyama, Masashi (2009):
Efficient Sample Reuse in EM-based Policy Search.
In: Machine Learning and Knowledge Discovery in Databases : Proceedings Pt.I, Berlin, Springer, In: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, In: Lecture Notes in Computer Science, 5781, DOI: 10.1007/978-3-642-04180-8_48,
[Online-Edition: http://www-clmc.usc.edu/publications/H/hachiya_ECML2009.pdf],
[Conference or Workshop Item]

This list was generated on Tue Nov 19 02:15:26 2019 CET.