2 citations · 5 across the 6 of their papers we have counts for
6 papers
Discriminator Soft Actor Critic without Extrinsic Rewards
Daichi Nishio, Daiki Kuyoshi, Toi Tsuneda +1
It is difficult to be able to imitate well in unknown states from a small amount of expert data and sampling data. Supervised learning methods such as Behavioral Cloning do not req…
Online Heterogeneous Mixture Learning for Big Data
Kazuki Seshimo, Ota Akira, Nishio Daichi +1
We propose the online machine learning for big data analysis with heterogeneity. We performed an experiment to compare the accuracy of each iteration between batch one and online o…
Improving Minimal Gated Unit for Sequential Data
Kazuki Takamura, Satoshi Yamane
In order to obtain a model which can process sequential data related to machine translation and speech recognition faster and more accurately, we propose adopting Chrono Initialize…
Random Projection in Neural Episodic Control
Daichi Nishio, Satoshi Yamane
End-to-end deep reinforcement learning has enabled agents to learn with little preprocessing by humans. However, it is still difficult to learn stably and efficiently because the l…
Machine translation considering context information using Encoder-Decoder model
Tetsuto Takano, Satoshi Yamane
In the task of machine translation, context information is one of the important factor. But considering the context information model dose not proposed. The paper propose a new mod…
Faster Deep Q-learning using Neural Episodic Control
Daichi Nishio, Satoshi Yamane
The research on deep reinforcement learning which estimates Q-value by deep learning has been attracted the interest of researchers recently. In deep reinforcement learning, it is…