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

Hachiya, H. and Akiyama, T. and Sugiyama, M. and Peters, J. (2009):
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]

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

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