1 code implementation • 18 Jan 2022 • Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
In this paper, we propose AdaTerm, a novel approach that incorporates the Student's t-distribution to derive not only the first-order moment but also all the associated statistics.
no code implementations • 2 Aug 2021 • Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
In order to allow the imitators to effectively learn from imperfect demonstrations, we propose to employ the robust t-momentum optimization algorithm.
no code implementations • 25 Aug 2020 • Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo
The problem with its conventional update rule is the fact that all the parameters are smoothly copied with the same speed from the main network, even when some of them are trying to update toward the wrong directions.
3 code implementations • 29 Feb 2020 • Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Machine learning algorithms aim to find patterns from observations, which may include some noise, especially in robotics domain.