Tetsuro Morimura

	2012
9		Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Parametric Return Density Estimation for Reinforcement Learning CoRR abs/1203.3497: (2012)
	2010
8		Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML 2010: 799-806
7		Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka: Parametric Return Density Estimation for Reinforcement Learning. UAI 2010: 368-375
6		Masashi 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)
5		Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto: Adaptive Step-size Policy Gradients with Average Reward Metric. Journal of Machine Learning Research - Proceedings Track 13: 285-298 (2010)
4		Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya: Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Computation 22(2): 342-376 (2010)
	2009
3		Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura: Least absolute policy iteration for robust value function approximation. ICRA 2009: 2904-2909
2		Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya: A Generalized Natural Actor-Critic Algorithm. NIPS 2009: 1312-1320
	2008
1		Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya: A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) 2008: 82-97

Coauthor Index

1	Kenji Doya	[1] [2] [4]
2	Hirotaka Hachiya	[3] [6] [7] [8] [9]
3	Hisashi Kashima	[3] [6] [7] [8] [9]
4	Takamitsu Matsubara	[5]
5	Jun Morimoto	[5]
6	Jan Peters	[4]
7	Masashi Sugiyama	[3] [6] [7] [8] [9]
8	Toshiyuki Tanaka	[7] [8] [9]
9	Eiji Uchibe	[1] [2] [4]
10	Junichiro Yoshimoto	[1] [2] [4]

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