Yasuhiro Fujita

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 11

Top Topics

Reinforcement Learning

Function Approximators

Normal Distribution

Top Venues

J. Mach. Learn. Res.

Publications

Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa
ChainerRL: A Deep Reinforcement Learning Library. J. Mach. Learn. Res. 22 (2021)
Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. CoRR (2020)
Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. IROS (2020)
Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa
ChainerRL: A Deep Reinforcement Learning Library. CoRR (2019)
Aaron J. Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita
Learning Latent State Spaces for Planning through Reward Prediction. CoRR (2019)
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. CoRR (2019)
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. ICML (2019)
Yasuhiro Fujita, Shin-ichi Maeda
Clipped Action Policy Gradient. CoRR (2018)
Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRR (2018)
Yasuhiro Fujita, Shin-ichi Maeda
Clipped Action Policy Gradient. ICML (2018)
Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRL (2018)