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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2013-12-07 09:00 |
Overseas | City University of Hong Kong | Standing-up and Balancing Behaviors of Android Phone Robot
-- Control of Spring-attached Wheeled Inverted Pendulum -- Jiexin Wang (Kyoto Univ), Eiji Uchibe, Kenji Doya (OIST)  NLP2013-122 |
In order to construct small-sized robots, it is promising to use Android phone as a brain with sensors. However, it is d... [more] | NLP2013-122 pp.49-54 |
| CNR | 2013-10-17 10:30 |
Osaka | Grand Front Osaka | Implementation of reinforcement learning using open source software Eiji Uchibe, Kenji Doya (OIST) CNR2013-9 |
Reinforcement learning has been studied as an autonomous learning framework for robots. Several learning algorithms have... [more] | CNR2013-9 pp.1-6 |
| NC, IPSJ-BIO | 2012-06-28 10:45 |
Okinawa | OIST, Okinawa | Learning Motor-visual Dynamics and Solving Linearlized Bellman Equation for Robot Control Ken Kinjo (NAIST/OIST), Eiji Uchibe (OIST), Junichiro Yoshimoto, Kenji Doya (OIST/NAIST) NC2012-4 |
[more] | NC2012-4 pp.19-24 |
| NC, MBE (Joint) |
2011-03-07 15:00 |
Tokyo | Tamagawa University | Robot Control based on linearized Bellman equation
-- System identification and approximation of desirability function -- Ken Kinjo (NAIST/OIST), Eiji Uchibe (OIST), Junichiro Yoshimoto, Kenji Doya (OIST/NAIST) NC2010-145 |
[more] | NC2010-145 pp.107-112 |
| NC, MBE (Joint) |
2010-03-10 14:35 |
Tokyo | Tamagawa University | Effects of environmental dynamics and observational uncertainty on CPG-based sensory feedback control. Shinji Kimura, Mayumi Haga (NAIST/OIST), Eiji Uchibe (OIST), Junichiro Yoshimoto, Kenji Doya (NAIST/OIST) NC2009-125 |
Central pattern generators (CPG) are a popular method for the control of rhythmic locomotion in robots. The advantage is... [more] | NC2009-125 pp.219-224 |
| NC | 2009-05-25 12:00 |
Okinawa | OIST, Okinawa | Reinforcement learning through the active low-dimensional sensory information Mikihiro Kobayashi (Nara Inst. of Sci and Tech.), Eiji Uchibe, Kenji Doya (OIST) NC2009-4 |
The goal of this research is to reduce the dimension of the state spaces in the framework of reinforcement learning usi... [more] |
NC2009-4 pp.19-24 |
| NC | 2007-03-14 16:00 |
Tokyo | Tamagawa University | Action-Oriented State Coding by Neighbourhood Component Analysis Makoto Otsuka (OIST/NAIST), Eiji Uchibe (OIST), Kenji Doya (OIST/NAIST) |
[more] | NC2006-149 pp.185-190 |
| NC | 2006-06-16 09:00 |
Okinawa | OIST | Reinforcement learning under constraints generated by multiple reward functions Eiji Uchibe, Kenji Doya (OIST) |
[more] | NC2006-22 pp.1-6 |
| NC | 2006-03-16 14:55 |
Tokyo | Tamagawa University | Multiobjective Reinforcement Learning based on Multiple Value Function Takumi Kamioka (OIST/NAIST), Eiji Uchibe (OIST), Kenji Doya (OIST/ATR) |
Standard Reinforcement Learning(RL) is formulated for optimization of a single objective function. However in most re... [more] |
NC2005-146 pp.127-132 |
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