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Number of items: 4.

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. :
Adaptive Importance Sampling for Value Function Approximation in On-policy Reinforcement Learning.
In: Neural Networks, 22(10), pp.1399-1410
[Article] , (2009)

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. :
Efficient Data Reuse in Value Function Approximation.
In: Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.
[Conference or Workshop Item] , (2009)

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. :
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
In: Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI). In: Acceptance Rate: 24% .
[Conference or Workshop Item] , (2008)

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. :
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
[Online-Edition: http://www-clmc.usc.edu/publications/H/hachiya-AAAI08.pdf]
In: Conference on Artificial Intelligence (AAAI 2008), July 13–17, 2008, Chicago, Illinois.
[Conference or Workshop Item] , (2008)

This list was generated on Tue Apr 16 01:19:52 2019 CEST.