Jun Namikawa

About

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Research Focus

Key Achievements

Top Papers

1. 1
   Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring

   75 citations · 2013
2. 2
   Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model

   50 citations · 2008
3. 3
   A Neurodynamic Account of Spontaneous Behaviour

   40 citations · 2011
4. 4
   Learning Multiple Goal-Directed Actions Through Self-Organization of a Dynamic Neural Network Model: A Humanoid Robot Experiment

   34 citations · 2008
5. 5
   A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance

   24 citations · 2008
6. 6
   Synthetic Approach to Understanding Meta-level Cognition of Predictability in Generating Cooperative Behavior

   11 citations · 2013
7. 7
   Reinforcement Learning Algorithm with CTRNN in Continuous Action Space

   3 citations · 2006

Key Collaborators