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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, 22 (10), pp. 1399-1410. ISSN 0893-6080,
DOI: 10.1016/j.neunet.2009.01.002,
[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, 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,
[Conference or Workshop Item]

Hachiya, Hirotaka and Peters, Jan and Sugiyama, Masashi (2009):
Efficient Sample Reuse in EM-based Policy Search.
In: Lecture Notes in Computer Science, 5781, In: Machine Learning and Knowledge Discovery in Databases : Proceedings Pt.I, pp. 469-484,
Berlin, Springer, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, DOI: 10.1007/978-3-642-04180-8_48,
[Conference or Workshop Item]

This list was generated on Tue Apr 20 01:41:43 2021 CEST.