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Number of items: 9.

Tangkaratt, V. and van Hoof, H. and Parisi, S. and Neumann, G. and Peters, J. and Sugiyama, M. (2017):
Policy Search with High-Dimensional Context Variables.
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Hachiya, H. and Peters, J. and Sugiyama, M. (2011):
Reward Weighted Regression with Sample Reuse.
In: Neural Computation, (23(11)), pp. 2798-2832, [Article]

Hachiya, H. and Peters, J. and Sugiyama, M. (2011):
Reward Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.
23, In: Neural Computation, (11), MIT Press, pp. 2798-2832, [Online-Edition: http://robot-learning.de/uploads/Publications/Hachiya_NC2011...],
[Article]

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 Peters, J. and Sugiyama, M. (2009):
Adaptive Importance Sampling with Automatic Model Selection in Reward Weighted Regression.
In: Winner of the IEEE CIS Japan Chapter YRA Award, In: Proceedings of the Workshop of Technical Committee on Neurocomputing, [Conference or Workshop Item]

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 Peters, J. and Sugiyama, M. (2009):
Efficient Sample Reuse in EM-based Policy Search.
In: Acceptance Rate: 24%, In: Proceedings of the 16th European Conference on Machine Learning (ECML), [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]

This list was generated on Tue Dec 10 00:51:25 2019 CET.