引用次数
引用: 669
H-指数: 7
I10-指数 : 7
出版物: 9
Model-Based Reinforcement Learning via Meta-Policy Optimization
Pieter Abbeel , Tamim Asfour , John Schulman , Ignasi Clavera
arXiv: Learning
214
2018
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
Masanori Koyama , Yoshihiro Nagano , Yasuhiro Fujita , Shoichiro Yamaguchi
international conference on machine learning 4693 -4702
72
2019
Clipped Action Policy Gradient
Shin-ichi Maeda , Yasuhiro Fujita
international conference on machine learning 1592 -1601
32
2018
Learning Latent State Spaces for Planning through Reward Prediction
Yi Ouyang , Yasuhiro Fujita , Aaron J. Havens , Prabhat Nagarajan
arXiv: Learning
4
2019
ChainerRL: A Deep Reinforcement Learning Library
Toshiki Kataoka , Yasuhiro Fujita , Prabhat Nagarajan , Takahiro Ishikawa
arXiv: Learning
92
2019
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
Yasuhiro Fujita , Prabhat Nagarajan , Kota Uenishi , Shimpei Masuda
intelligent robots and systems 9712 -9719
14
2020
Surface-aligned neural radiance fields for controllable 3d human synthesis
Tianhan Xu , Yasuhiro Fujita , Eiichi Matsumoto
Smpte Journal 15883 -15892
13
2022
A differentiable gaussian-like distribution on hyperbolic space for gradient-based learning
Yoshihiro Nagano , Shoichiro Yamaguchi , Yasuhiro Fujita , Masanori Koyama
arXiv preprint arXiv:1902.02992 41 -41
16
2019
Toward onboard control system for mobile robots via deep reinforcement learning
Megumi Miyashita , Shirou Maruyama , Yasuhiro Fujita , Mitsuru Kusumoto
Deep RL Workshop at Neurips
4
2018