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Hirotaka Hachiya Coauthor index pubzone.org

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21Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Parametric Return Density Estimation for Reinforcement Learning CoRR abs/1203.3497: (2012)
20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama: Analysis and improvement of policy gradient estimation. Neural Networks 26: 118-129 (2012)
19Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHirotaka Hachiya, Masashi Sugiyama, Naonori Ueda: Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition. Neurocomputing 80: 93-101 (2012)
2011
18no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya: On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. ICML 2011: 65-72
17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama: Analysis and Improvement of Policy Gradient Estimation. NIPS 2011: 262-270
16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMakoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama: Relative Density-Ratio Estimation for Robust Distribution Comparison. NIPS 2011: 594-602
15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHirotaka Hachiya, Jan Peters, Masashi Sugiyama: Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural Computation 23(11): 2798-2832 (2011)
2010
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHirotaka Hachiya, Masashi Sugiyama: Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information. ECML/PKDD (1) 2010: 474-489
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML 2010: 799-806
12Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Parametric Return Density Estimation for Reinforcement Learning. UAI 2010: 368-375
11Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara: Least-Squares Conditional Density Estimation. IEICE Transactions 93-D(3): 583-594 (2010)
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura: Least Absolute Policy Iteration--A Robust Approach to Value Function Approximation. IEICE Transactions 93-D(9): 2555-2565 (2010)
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara: Conditional Density Estimation via Least-Squares Density Ratio Estimation. Journal of Machine Learning Research - Proceedings Track 9: 781-788 (2010)
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTakayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama: Efficient exploration through active learning for value function approximation in reinforcement learning. Neural Networks 23(5): 639-648 (2010)
2009
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHirotaka Hachiya, Jan Peters, Masashi Sugiyama: Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD (1) 2009: 469-484
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura: Least absolute policy iteration for robust value function approximation. ICRA 2009: 2904-2909
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTakayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama: Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning. IJCAI 2009: 980-985
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters: Adaptive importance sampling for value function approximation in off-policy reinforcement learning. Neural Networks 22(10): 1399-1410 (2009)
2008
3no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters: Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI 2008: 1351-1356
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Geodesic Gaussian kernels for value function approximation. Auton. Robots 25(3): 287-304 (2008)
2007
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMasashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar: Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA 2007: 1733-1740

Coauthor Index

1Takayuki Akiyama [3] [4] [5] [8]
2Takafumi Kanamori [9] [11] [16]
3Hisashi Kashima [6] [10] [12] [13] [21]
4Manabu Kimura [18]
5Tetsuro Morimura [6] [10] [12] [13] [21]
6Gang Niu [17] [20]
7Daisuke Okanohara [9] [11]
8Jan Peters [3] [4] [7] [15]
9Masashi Sugiyama [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21]
10Taiji Suzuki [9] [11] [16]
11Ichiro Takeuchi [9] [11]
12Toshiyuki Tanaka [12] [13] [21]
13Christopher Towell [1] [2]
14Naonori Ueda [19]
15Sethu Vijayakumar [1] [2]
16Makoto Yamada [16] [18]
17Tingting Zhao [17] [20]

Last update Thu May 31 18:55:10 2012 CET by the DBLP TeamThis material is Open Data Data released under the ODC-BY 1.0 license — See also our legal information page