Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Toshitaka Matsuki"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Reservoir computing (RC) can efficiently process time-series data by mapping the input signal into a high-dimensional space via randomly connected recurrent neural networks (RNNs), which are referred to as a reservoir. The high-dimensional r
Externí odkaz:
https://doaj.org/article/4654710115f44d0a89e300766818d74c
Here, we introduce a fully local index named "sensitivity" for each neuron to control chaoticity or gradient globally in a neural network (NN). We also propose a learning method to adjust it named "sensitivity adjustment learning (SAL)". The index is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e506845803a0c127f34dda4579a937ef
http://arxiv.org/abs/2012.13134
http://arxiv.org/abs/2012.13134
Publikováno v:
IJCNN
This paper shows chaos-based reinforcement learning (RL) using a chaotic neural network (NN) functions not only with Actor-Critic, but also with Q-learning. In chaos-based RL that we have proposed, exploration is performed based on internal dynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ab7182a52e72ebc6abb8b45d67f2f8f
https://doi.org/10.1109/ijcnn48605.2020.9207114
https://doi.org/10.1109/ijcnn48605.2020.9207114
Autor:
Katsunari Shibata, Toshitaka Matsuki
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811383229
In this paper, we propose a learning method to update the time constant in each continuous-time neuron with gradient descent to generate desired output patterns. Selecting appropriate time constant for each neuron in a continuous-time recurrent neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bcb626b48a22be0055bd3c487105593
https://doi.org/10.1007/978-981-13-8323-6_13
https://doi.org/10.1007/978-981-13-8323-6_13
Autor:
Toshitaka Matsuki, Katsunari Shibata
Publikováno v:
Robot Intelligence Technology and Applications 5 ISBN: 9783319784519
RiTA
RiTA
Training a neural network (NN) through reinforcement learning (RL) has been focused on recently, and a recurrent NN (RNN) is used in learning tasks that require memory. Meanwhile, to cover the shortcomings in learning an RNN, the reservoir network (R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b94a1a89499e6e1d6b78f284366a0a3
https://doi.org/10.1007/978-3-319-78452-6_2
https://doi.org/10.1007/978-3-319-78452-6_2