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Group by: No Grouping | Item Type | Date | Language
Jump to: German | English
Number of items: 9.

German

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2011)
Reward Weighted Regression with Sample Reuse.
In: Neural Computation, (23(11))
Article, Bibliographie

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2009)
Adaptive Importance Sampling with Automatic Model Selection in Reward Weighted Regression.
Proceedings of the Workshop of Technical Committee on Neurocomputing.
Conference or Workshop Item, Bibliographie

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

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2009)
Efficient Sample Reuse in EM-based Policy Search.
Proceedings of the 16th European Conference on Machine Learning (ECML).
Conference or Workshop Item, Bibliographie

Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2008)
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI).
Conference or Workshop Item, Bibliographie

English

Tangkaratt, V. ; Hoof, H. van ; Parisi, S. ; Neumann, G. ; Peters, J. ; Sugiyama, M. (2017)
Policy Search with High-Dimensional Context Variables.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
Conference or Workshop Item, Bibliographie

Hachiya, H. ; Peters, J. ; Sugiyama, M. (2011)
Reward Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.
In: Neural Computation, 23 (11)
Article, Bibliographie

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

Hachiya, H. ; Akiyama, T. ; Sugiyama, M. ; Peters, J. (2008)
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
Conference on Artificial Intelligence (AAAI 2008). Chicago, Illinois (July 13–17, 2008)
Conference or Workshop Item, Bibliographie

This list was generated on Sat Feb 24 00:31:09 2024 CET.