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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2020-10-21
10:25		 Online Online IBISML2020-19 Due to the decreasing birthrate and labor force, expectations are rising for the automatic operation of various robots a... [more] IBISML2020-19
p.36
IBISML 2012-03-12
16:30		 Tokyo The Institute of Statistical Mathematics Canonical Multiple Sequence Alignment for High-dimensional Multiple Time-series Analysis
Takamitsu Matsubara (NAIST/ATR), Jun Morimoto (ATR) IBISML2011-96		 Temporal alignment of time series is a fundamental problem as the first step for many purposes. Especially, the techniqu... [more] IBISML2011-96
pp.63-68
IBISML 2010-11-05
15:30		 Tokyo IIS, Univ. of Tokyo [Poster Presentation] A Learning Method for Nonlinear Dynamical Motor Primitives from a Variety of Nominal Trajectories -- Application to Robot Learning from Demonstration --
Takamitsu Matsubara (NAIST/ATR), Sang-Ho Hyon (Ritsumeikan Univ./ATR), Jun Morimoto (ATR) IBISML2010-93		 (Advance abstract in Japanese is available) [more] IBISML2010-93
pp.251-256
MBE, NC
(Joint)		 2007-12-22
16:10		 Aichi   The Policy Gradient On The Average Reward Manifold
Takamitsu Matsubara (NAIST/ATR), Jun Morimoto (JST/ATR) NC2007-85		 In this paper we propose a novel policy gradient type reinforcement learning method on the average rewardmanifold, in wh... [more] NC2007-85
pp.81-86
NC 2005-10-17
- 2005-10-18		 Kyoto   Variational Bayesian method for estimating natural policy gradient
Takamitsu Matsubara (NAIST/ATR), Jun Morimoto, Jun Nakanishi (ATR/JST), Masa-aki Sato (ATR), Kenji Doya (Okinawa Inst. of science and Tech./ATR/NAIST) 		 [more] NC2005-52
pp.37-42
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